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Hsu, I.-Ching, Jang Yang Lee, Der-Chen Huang, and Kuan-Yang Lai. "Integrating Semantic Web technologies with XML Schema using role-mapping annotations." Electronic Library 32, no. 2 (April 1, 2014): 147–69. http://dx.doi.org/10.1108/el-07-2012-0096.
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Purpose – XML Schema is used to define schema of XML documents that have become standards for data exchange in various Web-based information applications. The main problem of XML Schema is that it emphasizes syntax and format rather than semantics and knowledge representation. Hence, even though having the advantage of describing the structure and constraining the contents of XML documents, XML Schema lacks the computer-interpretability to support knowledge representation for existing information systems. The purpose of this study is to propose role-mapping annotations for XML Schema (RMAXS) to integrate Semantic Web with XML Schema, which allows the facilitation interoperability between adjoining layers of the Semantic Web stack. Design/methodology/approach – The XML, XML Schema, ontology, and rule can be completely integrated into a multi-layered intelligent framework (MIF) for XML-based applications in the current web environment. This work presents a semantic-role-mapping intelligent system, called SRMIS, based on the MIF. SRMIS consists of XML-based document repository, search engine, inference engine and transformation engine, which provides different approaches to present the various metadata and knowledge representations. Findings – The traditional Semantic Web stack has three gaps between adjoining layers. The first gap, between the XML and XML Schema layers can be bridged with an XMLSchema-instance mechanism. The third gap, between the ontology and rule layers can be connected by building rules on top of ontologies. This study proposes RMAXS to couple the second gap, between the XML schema and ontology layers. The proposed multi-layered intelligent framework (MIF) adopts these coupling technologies to facilitate interoperability between adjoining layers. Therefore, the XML, XML Schema, ontology, and rule can be completely integrated into the MIF for intelligent applications in the web environment. Practical implications – To demonstrate the SRMIS applications, this work implements a prototype that helps researchers to find interested papers. Originality/value – This work presents a semantic-role-mapping intelligent system, called SRMIS, based on the MIF. SRMIS consists of XML-based document repository, search engine, inference engine and transformation engine, which provides different approaches to present the various metadata and knowledge representations. The proposed SRMIS can be applied in various application domains.
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Unadkat, Rimpal. "Survey Paper on Semantic Web." International Journal of Advanced Pervasive and Ubiquitous Computing 7, no. 4 (October 2015): 13–17. http://dx.doi.org/10.4018/ijapuc.2015100102.
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The World Wide Web (WWW) allows the people to share the information (data) from the large database repositories globally. The tremendous growth in the volume of data and with the terrific growth of number of web pages, traditional search engines now days are not appropriate and not suitable anymore. Search engine is the most important tool to discover any information in World Wide Web. Semantic Search Engine is born of traditional search engine to overcome the above problem. However, to overcome this problem in search engines to retrieve meaningful information intelligently, semantic web technologies are playing a major role. In this paper the authors present survey on the role of search engines in intelligent web, Background, Challenges and some issues.
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Zaikin, I. A., Anatoliy Tuzovskiy, and V. Z. Yampolskiy. "Architecture of Enterprise Information Systems Based on the Semantic Web Technologies." Key Engineering Materials 685 (February 2016): 843–46. http://dx.doi.org/10.4028/www.scientific.net/kem.685.843.
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The role of systems based on Semantic Web technologies is rising. Today there is a big set of tools to use semantic technologies. However, to date there were no recommendations given about architecture of information systems based on ontologies and Semantic Web technologies. Such architecture is suggested in the article. This architecture is intended for software engineers interested in design and development of such information systems.
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Antezana, E., M. Kuiper, and V. Mironov. "Biological knowledge management: the emerging role of the Semantic Web technologies." Briefings in Bioinformatics 10, no. 4 (May 19, 2009): 392–407. http://dx.doi.org/10.1093/bib/bbp024.
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Ismael Taher, Kazheen, Rezgar Hasan Saeed, Rowaida Kh. Ibrahim, Zryan Najat Rashid, Lailan M. Haji, Naaman Omar, and Hivi Ismat Dino. "Efficiency of Semantic Web Implementation on Cloud Computing: A Review." Qubahan Academic Journal 1, no. 3 (June 15, 2021): 1–9. http://dx.doi.org/10.48161/qaj.v1n3a72.
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Semantic web and cloud technology systems have been critical components in creating and deploying applications in various fields. Although they are self-contained, they can be combined in various ways to create solutions, which has recently been discussed in depth. We have shown a dramatic increase in new cloud providers, applications, facilities, management systems, data, and so on in recent years, reaching a level of complexity that indicates the need for new technology to address such tremendous, shared, and heterogeneous services and resources. As a result, issues with portability, interoperability, security, selection, negotiation, discovery, and definition of cloud services and resources may arise. Semantic Technologies, which has enormous potential for cloud computing, is a vital way of re-examining these issues. This paper explores and examines the role of Semantic-Web Technology in the Cloud from a variety of sources. In addition, a "cloud-driven" mode of interaction illustrates how we can construct the semantic web and provide automated semantical annotations to web applications on a large scale by leveraging Cloud computing properties and advantages.
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Rico, Mariano, Óscar Corcho, José Antonio Macías, and David Camacho. "A Tool Suite to Enable Web Designers, Web Application Developers and End-users to Handle Semantic Data." International Journal on Semantic Web and Information Systems 6, no. 3 (July 2010): 38–60. http://dx.doi.org/10.4018/ijswis.2010070103.
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Current web application development requires highly qualified staff, dealing with an extensive number of architectures and technologies. When these applications incorporate semantic data, the list of skill requirements becomes even larger, leading to a high adoption barrier for the development of semantically enabled Web applications. This paper describes VPOET, a tool focused mainly on two types of users: web designers and web application developers. By using this tool, web designers do not need specific skills in semantic web technologies to create web templates to handle semantic data. Web application developers incorporate those templates into their web applications, by means of a simple mechanism based in HTTP messages. End-users can use these templates through a Google Gadget. As web designers play a key role in the system, an experimental evaluation has been conducted, showing that VPOET provides good usability features for a representative group of web designers in a wide range of competencies in client-side technologies, ranging from amateur HTML developers to professional web designers.
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Narayanasamy, Senthil Kumar, Kathiravan Srinivasan, Yuh-Chung Hu, Satish Kumar Masilamani, and Kuo-Yi Huang. "A Contemporary Review on Utilizing Semantic Web Technologies in Healthcare, Virtual Communities, and Ontology-Based Information Processing Systems." Electronics 11, no. 3 (February 3, 2022): 453. http://dx.doi.org/10.3390/electronics11030453.
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The semantic web is an emerging technology that helps to connect different users to create their content and also facilitates the way of representing information in a manner that can be made understandable for computers. As the world is heading towards the fourth industrial revolution, the implicit utilization of artificial-intelligence-enabled semantic web technologies paves the way for many real-time application developments. The fundamental building blocks for the overwhelming utilization of semantic web technologies are ontologies, and it allows sharing as well as reusing the concepts in a standardized way so that the data gathered from heterogeneous sources receive a common nomenclature, and it paves the way for disambiguating the duplicates very easily. In this context, the right utilization of ontology capabilities would further strengthen its presence in many web-based applications such as e-learning, virtual communities, social media sites, healthcare, agriculture, etc. In this paper, we have given the comprehensive review of using the semantic web in the domain of healthcare, some virtual communities, and other information retrieval projects. As the role of semantic web is becoming pervasive in many domains, the demand for the semantic web in healthcare, virtual communities, and information retrieval has been gaining huge momentum in recent years. To obtain the correct sense of the meaning of the words or terms given in the textual content, it is deemed necessary to apply the right ontology to fix the ambiguity and shun any deviations that persist on the concepts. In this review paper, we have highlighted all the necessary information for a good understanding of the semantic web and its ontological frameworks.
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Yahya, Muhammad, John G. Breslin, and Muhammad Intizar Ali. "Semantic Web and Knowledge Graphs for Industry 4.0." Applied Sciences 11, no. 11 (May 31, 2021): 5110. http://dx.doi.org/10.3390/app11115110.
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In recent years, due to technological advancements, the concept of Industry 4.0 (I4.0) is gaining popularity, while presenting several technical challenges being tackled by both the industrial and academic research communities. Semantic Web including Knowledge Graphs is a promising technology that can play a significant role in realizing I4.0 implementations. This paper surveys the use of the Semantic Web and Knowledge Graphs for I4.0 from different perspectives such as managing information related to equipment maintenance, resource optimization, and the provision of on-time and on-demand production and services. Moreover, to solve the challenges of limited depth and expressiveness in the current ontologies, we have proposed an enhanced reference generalized ontological model (RGOM) based on Reference Architecture Model for I4.0 (RAMI 4.0). RGOM can facilitate a range of I4.0 concepts including improved asset monitoring, production enhancement, reconfiguration of resources, process optimizations, product orders and deliveries, and the life cycle of products. Our proposed RGOM can be used to generate a knowledge graph capable of providing answers in response to any real-time query.
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Garg, Sanjay, Kirit Modi, and Sanjay Chaudhary. "A QoS-aware approach for runtime discovery, selection and composition of semantic web services." International Journal of Web Information Systems 12, no. 2 (June 20, 2016): 177–200. http://dx.doi.org/10.1108/ijwis-12-2015-0040.
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Purpose Web services play vital role in the development of emerging technologies such as Cloud computing and Internet of Things. Although, there is a close relationship among the discovery, selection and composition tasks of Web services, research community has treated these challenges at individual level rather to focus on them collectively for developing efficient solution, which is the purpose of this work. This paper aims to propose an approach to integrate the service discovery, selection and composition of Semantic Web services on runtime basis. Design/methodology/approach The proposed approach defined as a quality of service (QoS)-aware approach is based on QoS model to perform discovery, selection and composition tasks at runtime to enhance the user satisfaction and quality guarantee by incorporating non-functional parameters such as response time and throughput with the Web services and user request. In this paper, the proposed approach is based on ontology for semantic description of Web services, which provides interoperability and automation in the Web services tasks. Findings This work proposed an integrated framework of Web service discovery, selection and composition which supports end user to search, select and compose the Web services at runtime using semantic description and non-functional requirements. The proposed approach is evaluated by various data sets from the Web Service Challenge 2009 (WSC-2009) to show the efficiency of this work. A use case scenario of Healthcare Information System is implemented using proposed work to demonstrate the usability and requirement the proposed approach. Originality/value The main contribution of this paper is to develop an integrated approach of Semantic Web services discovery, selection and composition by using the non-functional requirements.
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Sarkar, Arup, Ujjal Marjit, and Utpal Biswas. "A Middleware Architecture for Secure Service Discovery using Ontologies with Multiagent Approach." International Journal of Information Systems and Social Change 3, no. 1 (January 2012): 47–55. http://dx.doi.org/10.4018/jissc.2012010105.
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Web is a place for information sharing as well as service providing. With the addition of Service Oriented Architecture ensures better reusability, maintainability and flexibility among the heterogeneous data sources. Possibility of a better interoperability within such a heterogeneous data sources is less without further assistance. For better service discovery, these issues must be cleared first. Besides this, security measures also play a key role. By developing a Multiagent based middleware system can resolve all these issues. Further it will add up better communication among the different modules of the system as well as the self learning capability. This paper’s approach is aimed to the development of Multiagent system based middleware architecture for better service discovery, selection and invocation through a secure way without replacing the existing services based on Web Service and Semantic Web Service technologies. The architecture will use ontologies heavily to introduce the rich semantics to the services to provide better meaning understandable by machines.
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Gao, Lei, Lijuan Zhang, Lei Zhang, and Jie Huang. "RSVN: A RoBERTa Sentence Vector Normalization Scheme for Short Texts to Extract Semantic Information." Applied Sciences 12, no. 21 (November 7, 2022): 11278. http://dx.doi.org/10.3390/app122111278.
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With the explosive growth in short texts on the Web and an increasing number of Web corpora consisting of short texts, short texts are playing an important role in various Web applications. Entity linking is a crucial task in knowledge graphs and a key technology in the field of short texts that affects the accuracy of many downstream tasks in natural language processing. However, compared to long texts, the entity-linking task of Chinese short text is a challenging problem due to the serious colloquialism and insufficient contexts. Moreover, existing methods for entity linking in Chinese short text underutilize semantic information and ignore the interaction between label information and the original short text. In this paper, we propose a RoBERTa sentence vector normalization scheme for short texts to fully extract the semantic information. Firstly, the proposed model utilizes RoBERTa to fully capture contextual semantic information. Secondly, the anisotropy of RoBERTa’s output sentence vectors is revised by utilizing the standard Gaussian of flow model, which enables the sentence vectors to more precisely characterize the semantics. In addition, the interaction between label embedding and text embedding is employed to improve the NIL entity classification. Experimental results demonstrate that the proposed model outperforms existing research results and mainstream deep learning methods for entity linking in two Chinese short text datasets.
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Shen, Hai Bo, and Yu Cheng. "A Semantic-Aware Context-Based Access Control Framework for Mobile Web Services." Applied Mechanics and Materials 195-196 (August 2012): 498–503. http://dx.doi.org/10.4028/www.scientific.net/amm.195-196.498.
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As computing technology becomes more pervasive and mobile services are deployed, applications will need flexible access control mechanisms. Unlike traditional approaches based on the identity/role for access control, access decisions for these applications will depend on the combination of the required attributes of users and the contextual information. This paper proposes a semantic-aware context-based access control framework (called SA_CBAC) to be applied in mobile web services environment by combining semantic web technologies with context-based access control mechanism. In order to handle context information in the framework, this paper proposes a context ontology to represent contextual information and employ it in the inference engine. This paper also focuses on access control policies and addresses these issues by representing context, user attributes and resource attributes in knowledge base and extending XACML to incorporate the knowledge base.
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Raza, Zahid, Khalid Mahmood, and Nosheen Fatima Warraich. "Application of linked data technologies in digital libraries: a review of literature." Library Hi Tech News 36, no. 3 (May 7, 2019): 9–12. http://dx.doi.org/10.1108/lhtn-10-2018-0067.
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Purpose This paper aims to describe how linked data technologies can change the digital library collections, what are the benefits of linked data applications in digital libraries and what are the challenges of digital libraries in linked data environment. Design/methodology/approach The present study is based on substantial literature review on the applications of linked data technologies in digital libraries. The search engines such as Google, Yahoo and Google Scholar were used to find the relevant literature for the study. Online databases such as Pro Quest, Science Direct, Emerald and JSTORE were also used to find the relevant literature of the study. Databases of Library Sciences Library and Information Science and Technology Abstracts and Library Information Science Abstracts were also used to find the relevant literature of the study. Library, linked data technologies, Semantic Web, digital library and digital collections were the main keywords which were used to find the relevant literature for the study. Findings The evolution of linked data technologies and Semantic Web has changed the traditional role of the libraries. Traditional libraries are converting into digital libraries and digital libraries are in a struggle to publish their resources on the Web using XML-based metadata standards. It has made capable the digital collections to be viewed by machines on the Web just like human. On the emergence of linked data applications in digital libraries, Web visibility of the libraries has been enhanced to provide the opportunities for the users to find their required quality information of libraries round-the-clock on the Web. National Library of France, National Library of Spain, Europeana, Digital Public Library of Americana, Library of Congress and The British Library have taken the initiatives to publish their resources on the Web using linked data technologies. Originality/value This study present several key issues for policy makers, software developers, decision makers and library administrators about linked data technologies and its implementations in digital libraries. The present study may play its role to facilitate the users of the Web who are enthusiastically interested to exploit the quality and authentic library resources on the Web round-the-clock. Search engines will also achieve their longstanding goal to exploit the quality resources of the libraries for their Web users to make their Web appearance more credible and trustworthy.
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Yip, Y. L. "Accelerating Knowledge Discovery through Community Data Sharing and Integration." Yearbook of Medical Informatics 18, no. 01 (August 2009): 117–20. http://dx.doi.org/10.1055/s-0038-1638650.
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Summary Objectives To summarize current excellent research in the field of bioinformatics. Method Synopsis of the articles selected for the IMIA Yearbook 2009. Results The selection process for this yearbook’s section on Bioinformatics results in six excellent articles highlighting several important trends First, it can be noted that Semantic Web technology continues to play an important role in heterogeneous data integration. Novel applications also put more emphasis on its ability to make logical inferences leading to new insights and discoveries.Second, translational research, due to its complex nature, increasingly relies on collective intelligence made available through the adoption of community-defined protocols or software architectures for secure data annotation, sharing and analysis. Advances in systems biology, bio-ontologies and text-ming can also be noted. Conclusions Current biomedical research gradually evolves towards an environment characterized by intensive collaboration and more sophisticated knowledge processing activities. Enabling technologies, either Semantic Web or other solutions, are expected to play an increasingly important role in generating new knowledge in the foreseeable future.
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Konstantinidis, S., L. Fernandez-Luque, R. Karlsen, and P. Bamidis. "The Role of Taxonomies in Social Media and the Semantic Web for Health Education." Methods of Information in Medicine 52, no. 02 (2013): 168–79. http://dx.doi.org/10.3414/me12-02-0005.
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SummaryBackground: An increasing amount of health education resources for patients and professionals are distributed via social media channels. For example, thousands of health education videos are disseminated via You-Tube. Often, tags are assigned by the disseminator. However, the lack of use of standardized terminologies in those tags and the presence of misleading videos make it particularly hard to retrieve relevant videos.Objectives: i) Identify the use of standardized medical thesauri (SNOMED CT) in You-Tube Health videos tags from preselected YouTube Channels and demonstrate an information technology (IT) architecture for treating the tags of these health (video) resources. ii) Investigate the relative percentage of the tags used that relate to SNOMED CT terms. As such resources may play a key role in educating professionals and patients, the use of standardized vocabularies may facilitate the sharing of such resources. iii) Demonstrate how such resources may be properly exploited within the new generation of semantically enriched content or learning management systems that allow for knowledge expansion through the use of linked medical data and numerous literature resources also described through the same vocabularies.Methods: We implemented a video portal integrating videos from 500 US Hospital channels. The portal integrated 4,307 YouTube videos regarding surgery as described by 64,367 tags. BioPortal REST services were used within our portal to match SNOMED CT terms with YouTube tags by both exact match and non-exact match. The whole architecture was complemented with a mechanism to enrich the retrieved video resources with other educational material residing in other repositories by following contemporary semantic web advances, in the form of Linked Open Data (LOD) principles.Results: The average percentage of YouTube tags that were expressed using SNOMED CT terms was about 22.5%, while one third of YouTube tags per video contained a SNOMED CT term in a loose search; this analogy became one tenth in the case of exact match. Retrieved videos were then linked further to other resources by using LOD compliant systems. Such results were exemplified in the case of systems and technologies used in the mEducator EC funded project.Conclusion: YouTube Health videos can be searched for and retrieved using SNOMED CT terms with a high possibility of identifying health videos that users want based on their search criteria. Despite the fact that tagging of this information with SNOMED CT terms may vary, its availability and linked data capacity opens the door to new studies for personalized retrieval of content and linking with other knowledge through linked medical data and semantic advances in (learning) content management systems.
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Kuroczynski, Piotr. "Virtual Research Environment for digital 3D reconstructions – Standards, thresholds and prospects." Studies in Digital Heritage 1, no. 2 (December 14, 2017): 456–76. http://dx.doi.org/10.14434/sdh.v1i2.23330.
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Since the 1990s the application of the digital 3D reconstruction and computer-based visualisation of culturalheritage increased. The virtual reconstruction and 3D visualisation revealed a new “glittering” research space forobject-oriented disciplines such as archaeology, art history and architecture. Nevertheless the academicsconcerned with the uprising technology recognised early the lack of documentation standards in the 3Dprojects leading to the loss of information, findings and the fusion of knowledge behind the digital 3Drepresentation. Based on the methodological fundamentals of the digital 3D reconstruction the potentials andchallenges in the light of emerging Semantic Web and Web3D technologies will be introduced. The presentationsubscribes a scientific methodology and a collaborative web-based research environment followed by crucialfeatures for this kind of projects. As the groundwork a human- and machine-readable “language of objects” andthe implementation of this semantic patterns for spatial research purposes on destroyed and/or never realisedtangible cultural heritage will be discussed. Using examples from the practice the presentation explains therequirements of the Semantic Web (Linked Data), the role of controlled vocabularies, the architecture of the VREand the impact of a customised integration of interactive 3D models within the WebGL technology. Thepresentation intends to showcase the state-of-the-art on the way to a digital research infrastructure. The focuslies on the introduction of scholarly approved and sustainable digital 3D reconstruction, complaint withrecognised documentation standards and following the Linked Data requirements.
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Lamharhar, Hind, Dalila Chiadmi, and Laila Benhlima. "How semantic technologies transform e-government domain." Transforming Government: People, Process and Policy 8, no. 1 (March 17, 2014): 49–75. http://dx.doi.org/10.1108/tg-07-2013-0023.
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Purpose – In e-government domain, an efficient semantic interoperability of services is a big challenge. In this context, semantic technologies play a fundamental role in numerous e-government programs. Indeed, these technologies enable enriching the public service description provided by different public administrations with additional semantic information, which allows automatic services processing and information exchange between involved members in comprehensive and interpretable manner, thus facilitating service integration and cooperation. The most frequently used technologies in this area are semantic web services (SWS) technology and ontology. Thus, for modelling efficiently public services, the authors have exploring, studying and analyzing some of e-government researches and projects that applied semantic technologies. Design/methodology/approach – In this paper, the authors address how semantic technologies transform the e-government domain through exploring and studying the use of SWS and ontology in numerous researches and projects applying these technologies in this area. Then, the authors have compared them through a set of criteria defined according to e-government requirements such as the SWS modelling approach for describing semantically public services, ontologies for representing governmental specific features (e.g. regulation and organizational structures) and developed portal for supporting user ' s perspectives. Based on this study, the authors have identified the appropriate standards, frameworks, and models for developing the framework. Findings – The authors have developed a framework for public services which enhances existing approaches with additional aspects. Thus, the approach comparing to other works improves the service ontology with a cognitive semantic approach to support the multiple usage contexts and situations of services. This semantic is developed in form of a Sit/Ctx ontology developed based on CSs model represented through conceptual graphs theory. The authors have used this model besides OWL-S, improving thus the level of automation of discovery and composition process of public services, which become more efficient with taken into consideration their interrelations and situations. Originality/value – The approach comparing to other works improves the service ontology with a cognitive semantic approach to support the multiple usage contexts and situations of public services, providing thus the end-users (people and enterprises) a better orientation in discovery process.
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Varnienė-Janssen, Regina, and Albertas Šermokas. "Ontologies and Technologies for Integrating and Accessing Digital Cultural Heritage: Lithuanian Approach." Informacijos mokslai 88 (April 29, 2020): 66–82. http://dx.doi.org/10.15388/im.2020.88.32.
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Web technologies are the key for the implementing and ensuring the full range of user needs in the digital age. On the other hand, the issue of unified representation of digital content from diverse memory institutions in order to ensure semantic integrity still remains a matter of urgency. Semantic interoperability of information and data is essential in an integrated system. In this paper, we analyze and describe an ontology-based metadata interoperability approach and how this approach could be applied for memory institution data from diverse sources which do not support ontologies. In particular, we describe the use of the CIDOC CRM ontology as a mediating schema within Lithuania’s Information System of the Virtual Electronic Heritage (hereinafter ”VEPIS”) The paper introduces the role of the CIDOC CRM based Thesaurus of Personal Names, Geographical Names and Historical Chronology (hereinafter “BAVIC”), which operates as a core ontology within VEPIS by allowing to understand things and relationships between things as well as identify the time and space of things. The paper also focuses on trust of the cultural information on the Web. Users make trust judgments based on provenance that may or may not be explicitly offered to them. In particular, we describe how provenance is managed within digital preservation and access processes within VEPIS and define whether this management meets the W3C Provenance Incubator Group’s Requirements for Provenance on the Web. The paper is based on the results of the research initiated in 2018–2019 at the Faculty of Communication and the Faculty of Mathematics and Informatics of Vilnius University by authors of this paper.
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Ziegler, Wolfgang. "Extending intelligent content delivery in technical communication by semantics: microdocuments and content services." SHS Web of Conferences 77 (2020): 03009. http://dx.doi.org/10.1051/shsconf/20207703009.
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We address and develop a new concept for the dynamic delivery of topic-based content created within the domain of technical communication. Corresponding content management environments introduced within the last decades, focused so far on semantically structured and mostly XML-based information models and, more recently, on semantic metadata using taxonomies leading together to concepts of so-called intelligent content. Latest developments attempt to extend these concepts with additional explicit semantic approaches modelled and implemented, for example, by using ontologies and related technologies. In this article, we propose how content users might benefit from these semantic concepts by the delivery of sets of logically connected topics, which can be described as microdocuments (“microDocs”). This generic approach of topic assemblies might also play a role in the provisioning of content by web-services being integrated into different types of content processing and content delivery applications.
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Llanes-Padrón, Dunia, and Juan-Antonio Pastor-Sánchez. "Records in contexts: the road of archives to semantic interoperability." Program 51, no. 4 (November 7, 2017): 387–405. http://dx.doi.org/10.1108/prog-03-2017-0021.
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Purpose The purpose of this paper is to examine the Records in Contexts proposal of a conceptual model (RiC-CM) from the International Council on Archives’ (ICA) archival description and to propose an OWL ontology for its implementation in the semantic web. Design/methodology/approach The various elements of the model are studied and are related to earlier norms in order to understand their structure and the modeling of the ontology. Findings The analysis reveals the integrating nature of RiC-CM and the possibilities it offers for greater interoperability of data from archival descriptions. Two versions of an OWL ontology were developed to represent the conceptual model. The first makes a direct transposition of the conceptual model; the second optimizes the properties and relations in order to simplify the use and maintenance of the ontology. Research limitations/implications The proposed ontology will follow the considerations of the final version of the ICA’s RiC-CM. Practical implications The analysis affords an understanding of the role of RiC-CM in publishing online archival data sets, while the ontology is an initial approach to the semantic web technologies involved. Originality/value This paper offers an overview of Records in Contexts with respect to the advantages in the field of semantic interoperability, and supposes the first proposal of an ontology based on the conceptual model.
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Stuart, David. "Metrics for an increasingly complicated information ecosystem." Online Information Review 39, no. 6 (October 12, 2015): 848–54. http://dx.doi.org/10.1108/oir-06-2015-0174.
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Purpose – The purpose of this paper is to encourage recognition of the potential impact of an increasingly complicated information ecosystem on scientometric indicators. Design/methodology/approach – The paper considers how new web technologies have impacted the role of time in scientometric indicators. Findings – The paper suggests that it is important to be aware of the limitations of scientometrics indicators in an increasingly complicated information environment, although without a more developed semantic web there is little that can be done. Practical implications – Users of scientometric indicators should refrain from claiming too much confidence in them. Originality/value – The paper considers scientometric indicators at a finer granularity that usual, and will be of interest to anyone concerned the application of bibliometric indicators and the changing nature of scientific discourse.
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Hor, A. H., G. Sohn, P. Claudio, M. Jadidi, and A. Afnan. "A SEMANTIC GRAPH DATABASE FOR BIM-GIS INTEGRATED INFORMATION MODEL FOR AN INTELLIGENT URBAN MOBILITY WEB APPLICATION." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-4 (September 19, 2018): 89–96. http://dx.doi.org/10.5194/isprs-annals-iv-4-89-2018.
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<p><strong>Abstract.</strong> Over the recent years, the usage of semantic web technologies and Resources Description Framework (RDF) data models have been notably increased in many fields. Multiple systems are using RDF data to describe information resources and semantic associations. RDF data plays a very important role in advanced information retrieval, and graphs are efficient ways to visualize and represent real world data by providing solutions to many real-time scenarios that can be simulated and implemented using graph databases, and efficiently query graphs with multiple attributes representing different domains of knowledge. Given that graph databases are schema less with efficient storage for semi-structured data, they can provide fast and deep traversals instead of slow RDBMS SQL based joins allowing Atomicity, Consistency, Isolation and durability (ACID) transactions with rollback support, and by utilizing mathematics of graph they can enormous potential for fast data extraction and storage of information in the form of nodes and relationships. In this paper, we are presenting an architectural design with complete implementation of BIM-GIS integrated RDF graph database. The proposed integration approach is composed of four main phases: ontological BIM and GIS model’s construction, mapping and semantic integration using interoperable data formats, then an import into a graph database with querying and filtering capabilities. The workflows and transformations of IFC and CityGML schemas into object graph databases model are developed and applied to an intelligent urban mobility web application on a game engine platform validate the integration methodology.</p>
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Veglis, Andreas, Theodora Saridou, Kosmas Panagiotidis, Christina Karypidou, and Efthimis Kotenidis. "Applications of Big Data in Media Organizations." Social Sciences 11, no. 9 (September 8, 2022): 414. http://dx.doi.org/10.3390/socsci11090414.
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The exploitation of data in the media industry has always played a significant role. This is especially evident today, since data (and in many cases big data) are generated through various activities that relate to the production and also consumption of news. This paper attempts to highlight the importance of big data utilization in the media industry. Specifically, it discusses cases of big data exploitation, such as media content consumption and management, data journalism production, social content utilization, and participatory journalism applications. The study also examines the changes that big data has introduced in all stages of the journalism practice, from news production to news distribution, by utilizing the available tools. Finally, it discusses new developments that relate to semantic web (Web 3.0) technologies, which have already started to be adopted by media organizations around the world.
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Medina-Moreira, José, Katty Lagos-Ortiz, Harry Luna-Aveiga, Oscar Apolinario-Arzube, María del Pilar Salas-Zárate, and Rafael Valencia-García. "Knowledge Acquisition Through Ontologies from Medical Natural Language Texts." Journal of Information Technology Research 10, no. 4 (October 2017): 56–69. http://dx.doi.org/10.4018/jitr.2017100104.
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Ontologies are used to represent knowledge and they have become very important in the Semantic Web era. Ontologies evolve continuously during their life cycle to adapt to new requirements and needs, especially in the biomedical field, where the number of ontologies and their complexity have increased during the last years. On the other hand, a vast amount of clinical knowledge resides in natural language texts. For these reasons, building and maintaining biomedical ontologies from natural language texts is a relevant and challenging issue. In order to provide a general solution and to minimize the experts' participation during the ontology enriching process, a methodology for extracting terms and relations from natural language texts is proposed in this work. This framework is based on linguistic and statistical methods and semantic role labeling technologies, having been validated in the domain of diabetes, where they have obtained encouraging results with an F-measure of 82.1% and 79.9% for concepts and relations, respectively.
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Kachaoui, Jabrane, Jihane Larioui, and Abdessamad Belangour. "Towards an Ontology Proposal Model in Data Lake for Real-time COVID-19 Cases Prevention." International Journal of Online and Biomedical Engineering (iJOE) 16, no. 09 (August 13, 2020): 123. http://dx.doi.org/10.3991/ijoe.v16i09.15325.
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Globally, the coronavirus epidemic has now hit lives of millions and thousands of people around the world. The growing threat of this virus continues rising as new cases appear every day. Yet, affected countries by coronavirus are currently taking important measures to remedy it by using artificial intelligence (AI) and Big Data technologies. According to the World Health Organization (WHO), AI and Big Data have performed an important role in China's response to COVID-19, the genetic mutation name for coronavirus. Predicting an epidemic emergence, from the corona virus appearance to a person's predisposition to develop it, is fundamental to combating it. In this battle, Big Data is on the front line. However, Big Data cannot provide all of the expected insights and derive value from manipulated data. This is why we propose a semantic approach to facilitate the use of these data. In this paper, we present a novel approach that combines between the Semantic Web Services (SWS) and the Big Data characteristics in order to extract a significant information from multiple Data sources that can be exploitable for generating real-time statistics and reports.
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Chaturvedi, K., and T. H. Kolbe. "INTEGRATING DYNAMIC DATA AND SENSORS WITH SEMANTIC 3D CITY MODELS IN THE CONTEXT OF SMART CITIES." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-2/W1 (October 5, 2016): 31–38. http://dx.doi.org/10.5194/isprs-annals-iv-2-w1-31-2016.
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Smart cities provide effective integration of human, physical and digital systems operating in the built environment. The advancements in city and landscape models, sensor web technologies, and simulation methods play a significant role in city analyses and improving quality of life of citizens and governance of cities. Semantic 3D city models can provide substantial benefits and can become a central information backbone for smart city infrastructures. However, current generation semantic 3D city models are static in nature and do not support dynamic properties and sensor observations. In this paper, we propose a new concept called Dynamizer allowing to represent highly dynamic data and providing a method for injecting dynamic variations of city object properties into the static representation. The approach also provides direct capability to model complex patterns based on statistics and general rules and also, real-time sensor observations. The concept is implemented as an Application Domain Extension for the CityGML standard. However, it could also be applied to other GML-based application schemas including the European INSPIRE data themes and national standards for topography and cadasters like the British Ordnance Survey Mastermap or the German cadaster standard ALKIS.
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Lee, Hyowon, Nazlena Mohamad Ali, and Lynda Hardman. "Designing Interactive Applications to Support Novel Activities." Advances in Human-Computer Interaction 2013 (2013): 1–11. http://dx.doi.org/10.1155/2013/180192.
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R&D in media-related technologies including multimedia, information retrieval, computer vision, and the semantic web is experimenting on a variety of computational tools that, if sufficiently matured, could support many novel activities that are not practiced today. Interactive technology demonstration systems produced typically at the end of their projects show great potential for taking advantage of technological possibilities. These demo systems or “demonstrators” are, even if crude or farfetched, a significant manifestation of the technologists’ visions in transforming emerging technologies into novel usage scenarios and applications. In this paper, we reflect on design processes and crucial design decisions made while designing some successful, web-based interactive demonstrators developed by the authors. We identify methodological issues in applying today’s requirement-driven usability engineering method to designing this type of novel applications and solicit a clearer distinction between designing mainstream applications and designing novel applications. More solution-oriented approaches leveraging design thinking are required, and more pragmatic evaluation criteria is needed that assess the role of the system in exploiting the technological possibilities to provoke further brainstorming and discussion. Such an approach will support a more efficient channelling of the technology-to-application transformation which are becoming increasingly crucial in today’s context of rich technological possibilities.
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Frolov, Daniil, Anastasija Strekalova, and Anna Lavrentyeva. "Modeling of Complex Information Processes in the Oversaturated Media Environment (to the article by A.P. Sukhodolov, I.V. Anokhov, V.A. Marenko Informational Impulse-Wave Interaction between the Media and Society)." Theoretical and Practical Issues of Journalism 8, no. 4 (October 26, 2019): 844–53. http://dx.doi.org/10.17150/2308-6203.2019.8(4).844-853.
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The article discusses promising areas of modeling informational interaction between the media and the society from the standpoint of the Paradigm of Complexity. Increasing complexity of the society’s media system, turbulence in the media environment, transformation of the functions of traditional media, changing methods of information production and consumption, and development of Web 2.0 technologies are critical challenges for media theorists. Basing on the theory of behavioral economics, the authors prove that in the context of a significant growth of information volume, most people demonstrate a shift of thinking from System 1 to System 2. System 1 is a sub-system of the brain responsible for making rational, well-considered and balanced decisions, whereas System 2 is the area of automatic quick, spontaneous decision-making. This shift results in the dominance of populism, post-truth and fake news in the media space. The authors show that Web 2.0 technologies, which help people, regardless their occupation, to generate info-content, extends the boundaries of journalism and media. This, particularly, leads to development of citizen journalism and the increasing role of social communities (networks) as isolated media-systems that fragment the media space. The article substantiates that traditional media’s abilities to manipulate mass consciousness in the current supersofisticated media environment are extremely limited. The authors put forward a hypothesis about a radical change in the media’s key role, namely, a transition from content production to creating a semantic context. The methodological reflections presented in the article may serve as new impulses to building up synergetic, nonequilibrium, evolutionary and other models of complex adaptive media systems.
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López-Martínez, Alejandro, Álvaro Carrera, and Carlos A. Iglesias. "Empowering Museum Experiences Applying Gamification Techniques Based on Linked Data and Smart Objects." Applied Sciences 10, no. 16 (August 5, 2020): 5419. http://dx.doi.org/10.3390/app10165419.
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Museums play a crucial role in preserving cultural heritage. However, the forms in which they display cultural heritage might not be the most effective at piquing visitors’ interest. Therefore, museums tend to integrate different technologies that aim to create engaging and memorable experiences. In this context, the emerging Internet of Things (IoT) technology results particularly promising due to the possibility of implementing smart objects in museums, granting exhibits advanced interaction capabilities. Gamification techniques are also a powerful technique to draw visitors’ attention. These often rely on interactive question-based games. A drawback of such games is that questions must be periodically regenerated, and this is a time-consuming task. To confront these challenges, this paper proposes a low-maintenance gamified smart object platform that automates the creation of questions by exploiting semantic web technologies. The platform has been implemented in a real-life scenario. The results obtained encourage the use of the platform in the museum considered. Therefore, it appears to be a promising work that could be extrapolated and adapted to other kinds of museums or cultural heritage institutions.
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Wang, Kuansan, Zhihong Shen, Chiyuan Huang, Chieh-Han Wu, Yuxiao Dong, and Anshul Kanakia. "Microsoft Academic Graph: When experts are not enough." Quantitative Science Studies 1, no. 1 (February 2020): 396–413. http://dx.doi.org/10.1162/qss_a_00021.
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An ongoing project explores the extent to which artificial intelligence (AI), specifically in the areas of natural language processing and semantic reasoning, can be exploited to facilitate the studies of science by deploying software agents equipped with natural language understanding capabilities to read scholarly publications on the web. The knowledge extracted by these AI agents is organized into a heterogeneous graph, called Microsoft Academic Graph (MAG), where the nodes and the edges represent the entities engaging in scholarly communications and the relationships among them, respectively. The frequently updated data set and a few software tools central to the underlying AI components are distributed under an open data license for research and commercial applications. This paper describes the design, schema, and technical and business motivations behind MAG and elaborates how MAG can be used in analytics, search, and recommendation scenarios. How AI plays an important role in avoiding various biases and human induced errors in other data sets and how the technologies can be further improved in the future are also discussed.
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Schmidt-colinet, Jakob, Steven Braun, and Markus Friedrich. "Produkte mit Semantic Web beschreiben." atp magazin 52, no. 06 (December 20, 2017): 60–70. http://dx.doi.org/10.17560/atp.v52i06.2106.
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Die Komplexität technologisch hochentwickelter Produkte ist nur schwer fassbar. Qualitätseinbußen, Terminverfehlung oder fehlgeschlagene Kostenkalkulation durch mangelnde Koordination gefährden somit Markterfolge. Um die Produktkomplexität von der Entwicklungsphase bis zur Entsorgung beherrschen zu können, ist eine Methode zusammen mit einem geeigneten Beschreibungsmittel nötig, die beide von disziplinspezifischen Einschränkungen frei sind und eine konsistente Produktbeschreibung ermöglichen. Die Datenstruktur der als Semantic Web bekannten Internettechnologie erfüllt diese Anforderungen in erster Hinsicht. Um die praktische Anwendbarkeit für konsistente, umfassende Produktbeschreibungen zu ermitteln, wird die Technologie in diesem Zusammenhang analysiert.
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Schmidt-colinet, Jakob, Steven Braun, and Markus Friedrich. "Produkte mit Semantic Web beschreiben." atp magazin 52, no. 06 (December 20, 2017): 60–70. http://dx.doi.org/10.17560/atp.v52i06.2071.
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Die Komplexität technologisch hochentwickelter Produkte ist nur schwer fassbar. Qualitätseinbußen, Terminverfehlung oder fehlgeschlagene Kostenkalkulation durch mangelnde Koordination gefährden somit Markterfolge. Um die Produktkomplexität von der Entwicklungsphase bis zur Entsorgung beherrschen zu können, ist eine Methode zusammen mit einem geeigneten Beschreibungsmittel nötig, die beide von disziplinspezifischen Einschränkungen frei sind und eine konsistente Produktbeschreibung ermöglichen. Die Datenstruktur der als Semantic Web bekannten Internettechnologie erfüllt diese Anforderungen in erster Hinsicht. Um die praktische Anwendbarkeit für konsistente, umfassende Produktbeschreibungen zu ermitteln, wird die Technologie in diesem Zusammenhang analysiert.
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Grimm, Stephan, and Paul Benölken. "Informations- und Wissensmanagement basierend auf Semantic Web Technologie." ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb 98, no. 6 (June 28, 2003): 287–90. http://dx.doi.org/10.3139/104.100649.
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Zhao, Linlin, Zhansheng Liu, and Jasper Mbachu. "Highway Alignment Optimization: An Integrated BIM and GIS Approach." ISPRS International Journal of Geo-Information 8, no. 4 (April 3, 2019): 172. http://dx.doi.org/10.3390/ijgi8040172.
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Highway infrastructure plays an important role in assuring the proper function of the nation’s transportation. Highway alignment is an essential part of the highway planning and design phase, which has significant effects on the surroundings. Identifying optimal highway routes while using traditional methods requires significant time, cost, and effort, since it requires a comprehensive assessment of multiple factors, such as cost and environmental impacts. This study proposes an approach for managing highway alignment in the context of a larger landscape that integrates building information modelling (BIM) and geographic information system (GIS) capabilities. To support this integration, semantic web technologies are used to integrate data on a semantic level. Moreover, the approach also uses genetic algorithms (GAs) for optimizing highway alignments. A fully automated model is developed that enables data interoperability between BIM and GIS systems and also allows for data exchange between the integration model and the optimization algorithm. The model enables the full exploitation of features of the project and its surroundings for highway alignment planning. The proposed model is also applied to a real highway project to validate its effectiveness. The visualization model of the highway project and its surroundings provides a realistic three-dimensional image that produces a comprehensive virtual environment, where the project could be effectively planned and designed. That can help to reduce design errors and miscommunication, which, in turn, reduces project risks. Moreover, geological and geographical analyses help to identify geohazards and environmentally sensitive regions. The proposed model facilitates highway alignment planning by providing a cross-disciplinary approach to close the gap between the infrastructural and geotechnical planning processes.
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Sgurev, Vassil, Vladimir Jotsov, and Mincho Hadjiski. "Intelligent Systems: Methodology, Models, and Applications in Emerging Technologies." Journal of Advanced Computational Intelligence and Intelligent Informatics 9, no. 1 (January 20, 2005): 3–4. http://dx.doi.org/10.20965/jaciii.2005.p0003.
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From year to year the number of investigations on intelligent systems grows rapidly. For example this year 245 papers from 45 countries were sent for the Second International IEEE Conference on Intelligent Systems (www.ieee-is.org; www.fnts-bg.org/is) and this is an increase of more than 50% by all indicators. The presented papers on intelligent systems were marked by big audiences and they provoked a significant interest that ultimately led to the formation of vivid discussions, exchange of ideas and locally provoked the creation of working groups for different applied projects. All this reflects the worldwide tendencies for the leading role of the research on intelligent systems theoretically and practically. The greater part of the presented research dealt with traditional for the intelligent systems problems like artificial intelligence, knowledge engineering, intelligent agents, neural and fuzzy networks, intelligent data processing, intelligent control and decision making systems, and also new interdisciplinary problems like ontology and semantics in Internet, fuzzy intuitionistic logic. The majority of papers from the European and American researchers are dedicated to the theory and the applications of the intelligent systems with machine learning, fuzzy inference or uncertainty. Another big group of papers focuses on the domain of building and integrating ontologies of applications with heterogeneous multiagent systems. A great number of papers on intelligent systems deals with fuzzy sets. The papers of many other researchers underscore the significance of the contemporary perception-oriented methods and also of different applications in the intelligent systems. On the first place this is valid for the paradigm of L. A. Zadeh 'computing with words'. The Guest Editors in the present specialized journal volume would like to introduce a wealth of research with an applied and theoretical character that possesses a common characteristic and it is the conference best papers complemented and updated by the new elaborations of the authors during the last half a year. A short description of the presented in the volume papers follows. In 'Combining Local and Global Access to Ontologies in a Multiagent System' <B>R. Brena and H. Ceballos (Mexico)</B> proposed an original way for operation with ontologies where a part of the ontology is processed by a client's component and the rest is transmitted to the other agents by an ontology agent. The inter-agent communication is improved in this way. In 'Fuzzy Querying of Evolutive Situations: Application to Driving Situations' <B>S. Ould Yahia and S. Loriette-Rougegrez (France)</B> present an approach to analysis of driving situations using multimedia images and fuzzy estimates that will improve the driver's security. In 'Rememberng What You Forget in an Online Shopping Context' <B>M. Halvey and M. Keane (Ireland)</B> presented their approach to constructing online system that predicts the items for future shopping sessions using a novel idea called Memory Zones. In 'Reinforcement Learning for Online Industrial Process Control' the authors <B>J. Govindhasamy et al. (Ireland)</B> use a synthesis of dynamic programming, reinforcement learning and backpropagation for a goal of modeling and controlling an industrial grinding process. The felicitous combination of methods contributes for a greater effectiveness of the applications compared to the existing controllers. In 'Dynamic Visualization of Information: From Database to Dataspace' the authors <B>C. St-Jacques and L. Paquin (Canada)</B> suggested a friendly online access to large multimedia databases. <B>W. Huang (UK)</B> redefines in 'Towards Context-Aware Knowledge Management in e-Enterprises' the concept of context in intelligent systems and proposes a set of meta-information elements for context description in a business environment. His approach is applicable in the E-business, in the Semantic Web and in the Semantic Grid. In 'Block-Based Change Detection in the Presence of Ambient Illuminaion Variations' <B>T. Alexandropoulos et al. (Greece)</B> use a statistic analysis, clustering and pattern recognition algorithms, etc. for the goal of noise extraction and the global illumination correction. In 'Combining Argumentation and Web Search Technology: Towards a Qualitative Approach for Ranking Results' <B>C. Chesñevar (Spain) and A. Maguitman (USA)</B> proposed a recommender system for improving the WEB search. Defeasible argumentation and decision support methods have been used in the system. In 'Modified Axiomatic Basis of Subjective Probability' <B>K. Tenekedjiev et al. (Bulgaria)</B> make a contribution to the axiomatic approach to subjective uncertainty by introducing a modified set of six axioms to subjective probabilities. In 'Fuzzy Rationality in Quantitative Decision Analysis' <B>N. Nikolova et al. (Bulgaria)</B> present a discussion on fuzzy rationality in the elicitation of subjective probabilities and utilities. The possibility to make this special issue was politely offered to the Guest Editors by Prof. Kaoru Hirota, Prof. Toshio Fukuda and we thank them for that. Due to the help of Kenta Uchino and also due to the new elaborations presented by explorers from Europe and America the appearance of this special issue became possible.
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Pandey, Sachin Kumar, and Prabhat Pandey. "ROLE OF SEMANTICS WEB TECHNOLOGIES IN REDUCE TIME COMPLEX HETEROGENEOUS INFRASTRUCTURES." International Journal of Computer Sciences and Engineering 6, no. 10 (October 31, 2018): 590–609. http://dx.doi.org/10.26438/ijcse/v6i10.590609.
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Zhukova, Oksana, Oleksii Nalyvaiko, Yaroslava Shvedova, and Natalia Nalyvaiko. "Creation of Webquest as a Form of Development of Students Digital Competence." Professional Education: Methodology, Theory and Technologies, no. 14 (November 30, 2021): 172–95. http://dx.doi.org/10.31470/2415-3729-2021-14-172-195.
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The introduction to the article analyzes the current state of implementation of digital learning tools, including web quests. The main purpose of the study was the theoretical justification and practical process of introduction of digital learning tools (webquests) in the process of higher education seekers training. The research methods. In the process of fulfilling the research objective, theoretical and practical methods of data search and processing were applied. Statistical methods were also used at all stages of the pedagogical experiment: in the general assessment of the formation of digital project activities of students; when creating web pages by students of the Faculty of Foreign Languages and the Faculty of History of V.N. Karazin Kharkiv National University; when creating web-quests by each group of students while studying content modules. The results. The means of digital content in the implementation of project-digital activities by students were presented and analyzed, they are creating a website, using mobile-digital applications, developing multimedia materials for the educational process, developing and presenting digital pedagogical content. During the study, students created a website and developed a webquest «Non-standard lessons» for students and young teachers (creating a mental map «Characteristics of varieties of non-standard lessons»; identifying the main differences between standard and non-standard lessons using Euler-Venn’s diagram; creating «Daily rules of effective pedagogy» and placing them on the online board). The formation of students' digital competence by means of project-digital activity was checked at three levels (high, medium, low) and by the following criteria: motivational, semantic, activity and reflection. It was stated that the experimental verification of the formation of digital competence of humanities students by means of project-digital activities showed a positive dynamics in all criteria. Conclusions. The authors concluded that a project-digital activity served as an effective way to improve the digital competence of higher education students, this practice in the educational process would help their future professional activities as teachers. It was also emphasized that the role of digital technologies will continue to grow and higher education seekers should understand how to use them for educational purposes.
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Liu, Yan, and Shuo Zhu. "Multimodal Wireless Situational Awareness-Based Tourism Service Scene." Journal of Sensors 2021 (December 22, 2021): 1–9. http://dx.doi.org/10.1155/2021/5503333.
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Community platforms featuring user sharing and self-expression in social media generate big data on tourism resources, which, if fully utilized in a smart tourism system driven by high-tech and new technologies, will bring new life to the field of smart tourism research and will play an important role in the development of Internet+ tourism. However, tourism data in social media has the following characteristics: diversity, redundancy, heterogeneity, and intelligence. To address the characteristics of tourism data in social media, this thesis focuses on the following challenges: it is difficult to efficiently obtain tourism visualization information (text and images) in social media; it is difficult to effectively utilize tourism multimodal heterogeneous information; it is difficult to properly retrieve multimedia entity information of tourism attractions; and it is difficult to reasonably construct tourism personalized recommendation models. In this paper, an image search reordering method based on a hybrid feature graph model is proposed to realize the rapid acquisition of high-quality Internet images from the web using hybrid visual features and graph models, thus providing data security for the analysis of social media-based tourism images. To address the shortcomings of current search engines for image retrieval, visual information is used to bridge the problem of semantic gap between text-based search and images. To address the limitation of single visual features, we use latent semantic analysis to fuse multiple visual features to obtain hybrid features, which not only combine multiple single features but also preserve the potential relationship between these features. To address the shortcomings of the reordering methods based on classification and clustering, a reordering framework based on the graph model is used to reorder the images and finally complete the image search reordering based on the hybrid feature graph model. This method can obtain image information in social media with high efficiency and quality and then prepare for the subsequent work of tourism image analysis mining and personalized recommendation.
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Gushul, Yu V., and E. V. Teslya. "Information and analytical support: Current goals and pathways." Scientific and Technical Libraries, no. 1 (January 25, 2020): 24–44. http://dx.doi.org/10.33186/1027-3689-2020-1-24-44.
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User information support is among the functions of academic libraries. The authors attempt to reveal the potential of this activity vector. They characterize in brief the academic libraries’ performance in the external environment, reveal the changes in digital environment and social demands due to advancing IT: using Open Access, Semantic Web, Big Data and Data Analytics technologies in handling science data, the most recent phenomenon of Data Science, etc. The authors argue that the origins of further transformations will be the migration of communications, including scientific ones, toward the cyberspace, preferential generation and use of e-documents, supercomputer technologies, cloud computing, end-to-end technologies, multimodal interaction, science IT-services, etc. These transformations have been changing primarily the academic library users – who are high-end professionals with increasingly complex and unique information needs which the libraries are supposed to satisfy. This purpose can be fulfilled through prompt knowledge update, processing enormous flows of fast-aging information, delivery of resulting knowledge, comparative analytical data, range of solutions, etc. The current trends in the information support in academic libraries are discussed based on the information tail content analysis and observations: support of grant management, support of expert examination of academic papers, generation of analytical bibliographies, and organization of scientific communications, researchers, papers and ideas promotion in the global information space. In the professional literature, the information needs to determine the user services vectors for scientific libraries and their bibliographers are revealed, namely, IT-services support, virtual learning laboratory, e-science, knowledge and learning commons, library involvement in scientific data curation, expert analysis of generated information and preliminary quality appraisal, recommending publications and publishers to researchers, related administration and mediation, visual analytics, etc. The primary role of bibliographers in the libraries of the future is emphasized.
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Daquino, Marilena, Silvio Peroni, Francesca Tomasi, and Fabio Vitali. "Political Roles Ontology (PRoles): Enhancing Archival Authority Records through Semantic Web Technologies." Procedia Computer Science 38 (2014): 60–67. http://dx.doi.org/10.1016/j.procs.2014.10.012.
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Giri, Kaushal. "Role of Ontology in Semantic Web." DESIDOC Journal of Library & Information Technology 31, no. 2 (March 1, 2011): 116–20. http://dx.doi.org/10.14429/djlit.31.2.863.
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Konstantinidis, George, Adriane Chapman, Mark J. Weal, Ahmed Alzubaidi, Lisa M. Ballard, and Anneke M. Lucassen. "The Need for Machine-Processable Agreements in Health Data Management." Algorithms 13, no. 4 (April 7, 2020): 87. http://dx.doi.org/10.3390/a13040087.
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Data processing agreements in health data management are laid out by organisations in monolithic “Terms and Conditions” documents written in natural legal language. These top-down policies usually protect the interest of the service providers, rather than the data owners. They are coarse-grained and do not allow for more than a few opt-in or opt-out options for individuals to express their consent on personal data processing, and these options often do not transfer to software as they were intended to. In this paper, we study the problem of health data sharing and we advocate the need for individuals to describe their personal contract of data usage in a formal, machine-processable language. We develop an application for sharing patient genomic information and test results, and use interactions with patients and clinicians in order to identify the particular peculiarities a privacy/policy/consent language should offer in this complicated domain. We present how Semantic Web technologies can have a central role in this approach by providing the formal tools and features required in such a language. We present our ongoing approach to construct an ontology-based framework and a policy language that allows patients and clinicians to express fine-grained consent, preferences or suggestions on sharing medical information. Our language offers unique features such as multi-party ownership of data or data sharing dependencies. We evaluate the landscape of policy languages from different areas, and show how they are lacking major requirements needed in health data management. In addition to enabling patients, our approach helps organisations increase technological capabilities, abide by legal requirements, and save resources.
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PAYNE, TERRY, and VALENTINA TAMMA. "Towards Semantic Web agents: Knowledge Web and AgentLink." Knowledge Engineering Review 20, no. 2 (June 2005): 191–96. http://dx.doi.org/10.1017/s0269888905000500.
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This paper presents an overview on the role of agents in the Semantic Web, which was the topic of the AgentLink Technical Forum Group on ‘Semantic Web Agents’, aimed at fostering closer collaboration between the European communities working in these areas. The paper is structured in three main sections. In the first, we argue how agents are an essential component of the Semantic Web, then we provide a brief history, by no means comprehensive, of how the Semantic Web vision—that includes agents—has evolved over the past fifteen years. We then conclude, reporting on the topics presented and discussed during the Technical Forum.
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Hammami, Randa, Hatem Bellaaj, and Ahmed Hadj Kacem. "Semantic Web Services Discovery." International Journal on Semantic Web and Information Systems 14, no. 4 (October 2018): 57–72. http://dx.doi.org/10.4018/ijswis.2018100103.
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This article describes how Web services play an important role in several fields such as e-commerce and e-health. As the number of Web services is increasing rapidly, finding the best Web service according to users' requirements becomes more challenging. The traditional method of Web service discovery is based on keyword match. Due to this, many Web services which are most relevant to the user request are left undiscoverable. Some other emergent approaches are based on semantics to improve the quality of the discovered Web services in terms of relevance and satisfaction of user's need. In this paper, the authors present a survey of existing semantic Web services discovery approaches giving priority to relevant ones. Furthermore, this paper provides a critical and comparative analysis of the studied approaches and stands out major challenges to be addressed to substantially enhance the semantic Web service discovery.
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Lagares-Lemos, Ángel M., Miguel Lagares-Lemos, Ricardo Colomo-Palacios, Ángel García-Crespo, and Juan Miguel Gómez-Berbís. "DISMON." Journal of Information Technology Research 4, no. 1 (January 2011): 48–59. http://dx.doi.org/10.4018/jitr.2011010104.
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Information technology and, more precisely, the internet represent challenges and opportunities for medicine. Technology-driven medicine has changed how practitioners perform their roles in and medical information systems have recently gained momentum as a proof-of-concept of the efficiency of new support-oriented technologies. Emerging applications combine sharing information with a social dimension. This paper presents DISMON (Disease Monitor), a system based on Semantic Technologies and Social Web (SW) to improve patient care for medical diagnosis in limited environments, namely, organizations. DISMON combines Web 2.0 capacities and SW to provide semantic descriptions of clinical symptoms, thereby facilitating diagnosis and helping to foresee diseases, giving useful information to the company and its employees to increase efficiency by means of the prevention of injuries and illnesses, resulting in a safety environment for workers.
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Zhang, Junsheng, Yingfan Gao, Yanqing He, Hongjiao Xu, Chongde Shi, and Peng Qu. "Semantically Linking Information Resources for Web-Based Sharing." International Journal of Cognitive Informatics and Natural Intelligence 7, no. 2 (April 2013): 65–79. http://dx.doi.org/10.4018/ijcini.2013040105.
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Digital information resources on the web have been playing an important role during the information and knowledge propagation. Advanced applications such as intelligent information retrieval and information recommendation need the semantic relations among the digital information resources. Massive hyperlinks have existed in the current web; however, the semantic relations among the information resources are implicit or missing, and this has hindered the efficiency and effect of information sharing and information reuse, so it is necessary to evolve the hyperlinks to semantic links for enhancing the semantic connections between information resources on the web. Implicit and missing semantic links among the digital information resources are needed by the intelligent applications. In this paper, the authors propose an approach to enhance the semantic associations among digital information resources for realizing a semantic linked web. Applications based on semantic links are discussed and compared with applications on the current web. The semantic linked web can be regarded as a promising stage in the way to the semantic web.
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Demidova, Elena, Alishiba Dsouza, Simon Gottschalk, Nicolas Tempelmeier, and Ran Yu. "Creating knowledge graphs for geographic data on the web." ACM SIGWEB Newsletter, Winter (December 2022): 1–8. http://dx.doi.org/10.1145/3522598.3522602.
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Geographic data plays an essential role in various Web, Semantic Web and machine learning applications. OpenStreetMap and knowledge graphs are critical complementary sources of geographic data on the Web. However, data veracity, the lack of integration of geographic and semantic characteristics, and incomplete representations substantially limit the data utility. Verification, enrichment and semantic representation are essential for making geographic data accessible for the Semantic Web and machine learning. This article describes recent approaches we developed to tackle these challenges.
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Maddux, Cleborne D., and D. LaMont Johnson. "The Semantic Web: Its Role As an Aid to Collaboration." Computers in the Schools 29, no. 4 (October 2012): 315–19. http://dx.doi.org/10.1080/07380569.2012.737292.
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Ekaterina V., Vyrovtseva, Indutnaya Tatyana А., and Simakova Svetlana I. "Design as a Means of Creating a Journalistic Image in Infographics." Humanitarian Vector 15, no. 5 (May 2020): 155–65. http://dx.doi.org/10.21209/1996-7853-2020-15-5-155-165.
Full textAbstract:
Infographics as one of the most popular types of media text attracts the attention of researchers. However, the analysis criteria and evaluation of a new information presentation issue is still underresearched. From this point of view, a comprehensive analysis of infographics seems relevant, including both the study of its functionality and the study of ways to create a media image. The article attempts to determine the role of design techniques in terms of the selection and systematization principles, as well as the functioning peculiarities. Design solutions are considered in the context of the journalistic potential of infographics in the present study. That is reflected in expressing the author’s position, in updating socially significant information, in turning a real fact into a media image, as well as in organizing a dialogue between the addresser and the addressee on the basis of co-creation. The dialectical unity of the traditional functions for a journalistic text and design creativity is under consideration. The unity includes such journalistic functions as informational, communicative, and ideological, combined with the design, as well as aesthetic, cultural-formative, and enlightening function. An attempt to summarize theoretical observations supported by examples of infographics by web-sites TASS. Infographics and RIA Novosti news agency. The analysis was based on the following methods: semantic, functional, structural and compositional, discursive, art history. The big data combined in an infographics into a vivid image is not only visualized and systematized, but it is also personalized. So modern multimedia technologies have formed a new type of recipient, who is required of information perception involvement. The infographics considered in the present study provides a means of characterizing new principles of communication based on active participation in the process of perceiving media text, and, therefore, in the formation of a media image based on the information received. The study offers the possibility to conclude that the analysis and evaluation of infographics requires an integrated approach: dialectical unity of the criteria and elements, both of journalistic work, and of design as a part of time-tested art, are necessary. Keywords: infographics, design, journalism, media image, communication
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Cheng, Xian Yi, Ai Qin Yang, and Xue Yun Cheng. "The Study of Ontology Reasoning to Semantic Web." Advanced Materials Research 204-210 (February 2011): 375–80. http://dx.doi.org/10.4028/www.scientific.net/amr.204-210.375.
Full textAbstract:
The next generation Web, Semantic Web, has recently been drawn considerable attention from both academia and industry. The ontology is regarded as the cornerstone of the Semantic Web, is playing an important role with the knowledge expression and knowledge reasoning. Ontology language, Description Logic and the relationships of them were presented. This paper analyzes the principle of semantic reasoning about DL and reasoning machine. Finally, performers testify the practical reasoning task about a concrete Ontology construction.