Journal articles on the topic 'Information modelling, management and ontologies'
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Husáková, Martina, and Vladimír Bureš. "Formal Ontologies in Information Systems Development: A Systematic Review." Information 11, no. 2 (January 27, 2020): 66. http://dx.doi.org/10.3390/info11020066.
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Computational ontologies are machine-processable structures which represent particular domains of interest. They integrate knowledge which can be used by humans or machines for decision making and problem solving. The main aim of this systematic review is to investigate the role of formal ontologies in information systems development, i.e., how these graphs-based structures can be beneficial during the analysis and design of the information systems. Specific online databases were used to identify studies focused on the interconnections between ontologies and systems engineering. One-hundred eighty-seven studies were found during the first phase of the investigation. Twenty-seven studies were examined after the elimination of duplicate and irrelevant documents. Mind mapping was substantially helpful in organising the basic ideas and in identifying five thematic groups that show the main roles of formal ontologies in information systems development. Formal ontologies are mainly used in the interoperability of information systems, human resource management, domain knowledge representation, the involvement of semantics in unified modelling language (UML)-based modelling, and the management of programming code and documentation. We explain the main ideas in the reviewed studies and suggest possible extensions to this research.
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Shynkarenko, V. I., and L. I. Zhuchyi. "Constructive-Synthesizing Modelling of Ontological Document Management Support for the Railway Train Speed Restrictions." Science and Transport Progress, no. 2(98) (June 20, 2022): 59–68. http://dx.doi.org/10.15802/stp2022/268001.
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Purpose. During the development of railway ontologies, it is necessary to take into account both the data of information systems and regulatory support to check their consistency. To do this, data integration is performed. The purpose of the work is to formalize the methods for integrating heterogeneous sources of information and ontology formation. Methodology. Constructive-synthesizing modelling of ontology formation and its resources was developed. Findings. Ontology formation formalization has been performed, which allows expanding the possibilities of automating the integration and coordination of data using ontologies. In the future, it is planned to expand the structural system for the formation of ontologies based on textual sources of railway regulatory documentation and information systems. Originality. The authors laid the foundations of using constructive-synthesizing modelling in the railway transport ontological domain to form the structure and data of the railway train speed restriction warning tables (database and csv format), their transformation into a common tabular format, vocabulary, rules and ontology individuals, as well as ontology population. Ontology learning methods have been developed to integrate data from heterogeneous sources. Practical value. The developed methods make it possible to integrate heterogeneous data sources (the structure of the table of the railway train management rules, the form and application for issuing a warning), which are railway domain-specific. It allows forming an ontology from its data sources (database and csv formats) to schema and individuals. Integration and consistency of information system data and regulatory documentation is one of the aspects of increasing the level of train traffic safety.
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Baro, Dana, and Laura Neundörfer. "Contrasting Ontology Modeling with Correlation Rules for Delivery Applications." SHS Web of Conferences 102 (2021): 02002. http://dx.doi.org/10.1051/shsconf/202110202002.
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With the increasing importance of knowledge management, variant management and the ever-growing quantity of data, ontologies emerged as a form of knowledge representation, especially in the field of technical communication for modelling metadata and to create correlations between them. In the area of delivery applications, the deliverable information objects receive a certain intelligence by semantic metadata. It is expected, that ontologies offer a higher level of intelligence which could lead to an improvement in classification, connection and delivery possibilities of content. On the contrary, creating those complex ontologies requires a time-consuming effort. Thus, the question arises, whether their use offers a decisive added benefit or if alternatives, such as untyped correlations, should be preferred. In that case, the concept of Semantic Correlation Rules can offer an opportunity to derive advantages from ontologies: By defining which classifications are connected to others, it is possible to present content tailored to user-specific information requirements. By developing use cases, we aim to evaluate the required level of intelligence of the metadata resulting from its modeling method to achieve this goal.
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Nägele, Daniel, and Patricia Vobl. "Ontology Modelling and Standardized Information Exchange with Content Delivery Applications in Technical Communication." SHS Web of Conferences 102 (2021): 02005. http://dx.doi.org/10.1051/shsconf/202110202005.
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Ontologies are a technology recently used in technical communication (TC) to model information into a multidimensional net. They expand the modelling by taxonomy of metadata in TC. Any kind of relation between multiple classes and instances can be established. These ontologies can appear in the form of semantic correlation rules (SCR), which represent the connection between the metadata of the objects. SCR are used in connection with component content management systems (CCMS), semantic modelling systems (SMS) and content delivery portals (CDP) to deliver the appropriate amount of content in a more precise manner to the end user. In general, Ontology tools, CCMS and CDP are not based on the same ecosystem and therefore, they do not always work together effortlessly. A solution to this problem are exchange formats like the intelligent information Request and Delivery Standard (iiRDS), which enable a standardized information exchange between supported systems. Another solution would be compound information systems (CIS) like ONTOLIS, which combine a CCMS, CDP and SMS all in one. This paper aims to investigate the effect of SCR in the CDP of a CIS like ONTOLIS and to evaluate the use of exchange formats like iiRDS.
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Smirnov, Alexander, and Nikolay Shilov. "Business Network Modelling." International Journal of Information System Modeling and Design 1, no. 4 (October 2010): 77–91. http://dx.doi.org/10.4018/jismd.2010100104.
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Business networks have appeared as a reaction to changes taking place in the world economy and logistic networks can be considered as examples of such networks. The approach proposed in the paper is based on the idea to represent the business network members with services provided by them, and to achieve interoperability via application of the SOA standards. The approach is based on usage of such technologies as Web services, ontology, and context management. Web services enable interoperability at the technological level. Ontologies are used for description of knowledge domains and enable interoperability at the level of semantics. The purpose of the context is to represent only relevant information from the large amount of the information and the application of the approach is demonstrated on the case study from the area of dynamic logistics. The considered problem takes into account a continuously changing problem environment and requires nearly real-time solving.
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Bischoff, Sophie. "Modelling of Child Seat Dependencies for Digital Information Services using Semantic Technologies." SHS Web of Conferences 139 (2022): 02003. http://dx.doi.org/10.1051/shsconf/202213902003.
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With the increasing importance of knowledge management and the growing amount of data in industry, a field of application for semantic technologies has emerged with the representation of knowledge in the area of technical communication. Semantic networks and ontologies offer a high degree of intelligence and can make complex relationships interpretable for humans and machines alike. This aspect can lead to an improvement in the classification, connection, and delivery possibilities of content. Technical documentation is one of many areas where semantic technologies and knowledge graphs can add value to industry. This paper should give an outlook on how semantic technologies can be used in different use cases by companies in the domain of technical communication in the future. Based on a use case of a German company of the child seat industry, the use of semantic technologies and their various use cases in technical communication is shown. The company has started to use semantic technologies to simplify processes and to provide their digital information products in a user- and context-oriented way. This paper focuses on the possibilities that the use of semantic technologies, especially ontologies, provides in a company. It also highlights the difficulties that can arise in the transition and transformation of data.
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Celeste, Giuseppe, Mariangela Lazoi, Mattia Mangia, and Giovanna Mangialardi. "Innovating the Construction Life Cycle through BIM/GIS Integration: A Review." Sustainability 14, no. 2 (January 11, 2022): 766. http://dx.doi.org/10.3390/su14020766.
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The construction sector is in continuous evolution due to the digitalisation and integration into daily activities of the building information modelling approach and methods that impact on the overall life cycle. This study investigates the topic of BIM/GIS integration with the adoption of ontologies and metamodels, providing a critical analysis of the existing literature. Ontologies and metamodels share several similarities and could be combined for potential solutions to address BIM/GIS integration for complex tasks, such as asset management, where heterogeneous sources of data are involved. The research adopts a systematic literature review (SLR), providing a formal approach to retrieve scientific papers from dedicated online databases. The results found are then analysed, in order to describe the state of the art and suggest future research paths, which is useful for both researchers and practitioners. From the SLR, it emerged that several studies address ontologies as a promising way to overcome the semantic barriers of the BIM/GIS integration. On the other hand, metamodels (and MDE and MDA approaches, in general) are rarely found in relation to the integration topic. Moreover, the joint application of ontologies and metamodels for BIM/GIS applications is an unexplored field. The novelty of this work is the proposal of the joint application of ontologies and metamodels to perform BIM/GIS integration, for the development of software and systems for asset management.
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Previtali, Mattia, Raffaella Brumana, Chiara Stanga, and Fabrizio Banfi. "An Ontology-Based Representation of Vaulted System for HBIM." Applied Sciences 10, no. 4 (February 18, 2020): 1377. http://dx.doi.org/10.3390/app10041377.
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In recent years, many efforts have been invested in the cultural heritage digitization: surveying, modelling, diagnostic analysis and historic data collection. Nowadays, this effort is finalized in many cases towards historical building information modelling (HBIM). However, the architecture, engineering, construction and facility management (AEC-FM) domain is very fragmented and many experts operating with different data types and models are involved in HBIM projects. This prevents effective communication and sharing of the results not only among different professionals but also among different projects. Semantic web tools may significantly contribute in facilitating sharing, connection and integration of data provided in different domains and projects. The paper describes this aspect specifically focusing on managing the information and models acquired on the case of vaulted systems. Information is collected within a semantic based hub platform to perform cross correlation. Such functionality allows the reconstructing of the rich history of the construction techniques and skilled workers across Europe. To this purpose an ontology-based vaults database has been undertaken and an example of its implementation is presented. The developed ontology-based vaults database is a database that makes uses of a set of ontologies to effectively combine data and information from multiple heterogeneous sources. The defined ontologies provide a high-level schema of a data source and provides a vocabulary for user queries.
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Van Ruymbeke, M., P. Hallot, and R. Billen. "Enhancing CIDOC-CRM and compatible models with the concept of multiple interpretation." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences IV-2/W2 (August 17, 2017): 287–94. http://dx.doi.org/10.5194/isprs-annals-iv-2-w2-287-2017.
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Modelling cultural heritage and archaeological objects is used as much for management as for research purposes. To ensure the sustainable benefit of digital data, models benefit from taking the data specificities of historical and archaeological domains into account. Starting from a conceptual model tailored to storing these specificities, we present, in this paper, an extended mapping to CIDOC-CRM and its compatible models. Offering an ideal framework to structure and highlight the best modelling practices, these ontologies are essentially dedicated to storing semantic data which provides information about cultural heritage objects. Based on this standard, our proposal focuses on multiple interpretation and sequential reality.
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Sousa, Cristóvão Dinis, António Lucas Soares, and Carla Sofia Pereira. "Collaborative conceptualisation processes in the development of lightweight ontologies." VINE Journal of Information and Knowledge Management Systems 46, no. 2 (May 9, 2016): 175–93. http://dx.doi.org/10.1108/vjikms-03-2015-0022.
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Purpose In collaborative settings, such as research and development projects, obtaining the maximum benefit from knowledge management systems depends on the ability of the different partners to understand the conceptualisation underlying the system’s knowledge organisation. This paper aims to show how information/knowledge organisation in a multi-organisation project can be made more effective if the domain experts are involved in the specification of the systems semantic structure. A particular aspect is further studied: the role of conceptual relations in the process of collaborative development of such structures. Design/methodology/approach An action-research approach was adopted, framed by a socio-semantic stance. A collaborative conceptual modelling platform was used to support the members of a research and development project in the process of developing a lightweight ontology aiming at reorganising all the project information in a wiki system. Data collection was carried out by means of participant observation, interviews and a questionnaire. Findings The approach to solve the content organisation problem revealed to be effective both in the result and the process. It resulted in a better-organised system, enabling more efficient project information retrieval. The collaborative development of the lightweight ontology embodied, in fact, a learning process, leading to a shared conceptualisation. The research results point to the importance of the elicitation of conceptual relations for structuring the project’s knowledge. These results are important for the design of methods and tools to support the collaborative development of conceptual models. Originality/value This paper studies the social process leading to a shared conceptualisation, a subject that has not been sufficiently researched. This case study provides evidence about the importance of the early phases of the construction of ontologies, mainly if domain experts are deeply involved, supported by appropriated tools and guided by well-structured processes.
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Deng, Qianwang, and Dejie Yu. "Mapping Knowledge in Product Development through Process Modelling." Journal of Information & Knowledge Management 05, no. 03 (September 2006): 233–42. http://dx.doi.org/10.1142/s0219649206001475.
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The product development capability is a core competence in a company, and the product development process is a knowledge-intensive process. The evolution of engineering design shows that knowledge is a key factor of a successful product development. From the 70's in the last century, artificial intelligence has been introduced into this field. It evolves from expert system through knowledge-based system to current knowledge management. Knowledge taxonomy is a core component in knowledge management. A new approach of mapping knowledge in product development through process modelling is proposed. Product development process modelling can help people structure knowledge and the employees linking to each activity in the product development process. According to the analysis of product development process models, there exist three basic kinds of objects: product states, process elements, and resources. The state-process-resource model provides available ontologies of knowledge in the product development domain. In this way, knowledge is hierarchically classified into six knowledge subjects: product, product process, process element, method, tool, and application specific domain. Furthermore, each of the knowledge subjects is divided into three types of knowledge: course, practice, and expertise location.
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Fiorani, D., and M. Acierno. "CONSERVATION PROCESS MODEL (CPM): A TWOFOLD SCIENTIFIC RESEARCH SCOPE IN THE INFORMATION MODELLING FOR CULTURAL HERITAGE." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-5/W1 (May 15, 2017): 283–90. http://dx.doi.org/10.5194/isprs-archives-xlii-5-w1-283-2017.
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The aim of the present research is to develop an instrument able to adequately support the conservation process by means of a twofold approach, based on both BIM environment and ontology formalisation. Although BIM has been successfully experimented within AEC (Architecture Engineering Construction) field, it has showed many drawbacks for architectural heritage. To cope with unicity and more generally complexity of ancient buildings, applications so far developed have shown to poorly adapt BIM to conservation design with unsatisfactory results (Dore, Murphy 2013; Carrara 2014). In order to combine achievements reached within AEC through BIM environment (design control and management) with an appropriate, semantically enriched and flexible The presented model has at its core a knowledge base developed through information ontologies and oriented around the formalization and computability of all the knowledge necessary for the full comprehension of the object of architectural heritage an its conservation. Such a knowledge representation is worked out upon conceptual categories defined above all within architectural criticism and conservation scope. The present paper aims at further extending the scope of conceptual modelling within cultural heritage conservation already formalized by the model. A special focus is directed on decay analysis and surfaces conservation project.
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Jeliazkova, Nina, Charalampos Chomenidis, Philip Doganis, Bengt Fadeel, Roland Grafström, Barry Hardy, Janna Hastings, et al. "The eNanoMapper database for nanomaterial safety information." Beilstein Journal of Nanotechnology 6 (July 27, 2015): 1609–34. http://dx.doi.org/10.3762/bjnano.6.165.
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Background: The NanoSafety Cluster, a cluster of projects funded by the European Commision, identified the need for a computational infrastructure for toxicological data management of engineered nanomaterials (ENMs). Ontologies, open standards, and interoperable designs were envisioned to empower a harmonized approach to European research in nanotechnology. This setting provides a number of opportunities and challenges in the representation of nanomaterials data and the integration of ENM information originating from diverse systems. Within this cluster, eNanoMapper works towards supporting the collaborative safety assessment for ENMs by creating a modular and extensible infrastructure for data sharing, data analysis, and building computational toxicology models for ENMs. Results: The eNanoMapper database solution builds on the previous experience of the consortium partners in supporting diverse data through flexible data storage, open source components and web services. We have recently described the design of the eNanoMapper prototype database along with a summary of challenges in the representation of ENM data and an extensive review of existing nano-related data models, databases, and nanomaterials-related entries in chemical and toxicogenomic databases. This paper continues with a focus on the database functionality exposed through its application programming interface (API), and its use in visualisation and modelling. Considering the preferred community practice of using spreadsheet templates, we developed a configurable spreadsheet parser facilitating user friendly data preparation and data upload. We further present a web application able to retrieve the experimental data via the API and analyze it with multiple data preprocessing and machine learning algorithms. Conclusion: We demonstrate how the eNanoMapper database is used to import and publish online ENM and assay data from several data sources, how the “representational state transfer” (REST) API enables building user friendly interfaces and graphical summaries of the data, and how these resources facilitate the modelling of reproducible quantitative structure–activity relationships for nanomaterials (NanoQSAR).
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Farghaly, Karim, F. H. Abanda, Christos Vidalakis, and Graham Wood. "BIM-linked data integration for asset management." Built Environment Project and Asset Management 9, no. 4 (September 9, 2019): 489–502. http://dx.doi.org/10.1108/bepam-11-2018-0136.
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Purpose The purpose of this paper is to investigate the transfer of information from the building information modelling (BIM) models to either conventional or advanced asset management platforms using Linked Data. To achieve this aim, a process for generating Linked Data in the asset management context and its integration with BIM data is presented. Design/methodology/approach The research design employs a participatory action research (PAR) approach. The PAR approach utilized two qualitative data collection methods, namely; focus group and interviews to identify and evaluate the required standards for the mapping of different domains. Also prototyping which is an approach of Software Development Methodology is utilized to develop the ontologies and Linked Data. Findings The proposed process offers a comprehensive description of the required standards and classifications in construction domain, related vocabularies and object-oriented links to ensure the effective data integration between different domains. Also the proposed process demonstrates the different stages, tools, best practices and guidelines to develop Linked Data, armed with a comprehensive use case Linked Data generation about building assets that consume energy. Originality/value The Linked Data generation and publications in the domain of AECO is still in its infancy and it also needs methodological guidelines to support its evolution towards maturity in its processes and applications. This research concentrates on the Linked Data applications with BIM to link across domains where few studies have been conducted.
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Naskar, Debashis, and Subhashis Das. "HNS Ontology Using Faceted Approach." KNOWLEDGE ORGANIZATION 46, no. 3 (2019): 187–98. http://dx.doi.org/10.5771/0943-7444-2019-3-187.
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The purpose of this research is to develop an ontology with subsequent testing and evaluation, for identifying utility and value. The domain that has been chosen is human nervous system (HNS) disorders. It is hypothesized here that an ontology-based patient records management system is more effective in meeting and addressing complex information needs of health-care personnel. Therefore, this study has been based on the premise that developing an ontology and using it as a component of the search interface in hospital records management systems will lead to more efficient and effective management of health-care. It is proposed here to develop an ontology of the domain of HNS disorders using a standard vocabulary such as MeSH or SNOMED CT. The principal classes of an ontology include facet analysis for arranging concepts based on their common characteristics to build mutually exclusive classes. We combine faceted theory with description logic, which helps us to better query and retrieve data by implementing an ontological model. Protégé 5.2.0 was used as ontology editor. The use of ontologies for domain modelling will be of acute help to doctors for searching patient records. In this paper we show how the faceted approach helps us to build a flexible model and retrieve better information. We use the medical domain as a case study to show examples and implementation.
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Zlatanova, S., S. Dragicevic, and G. Sithole. "PREFACE: TECHNICAL COMMISSION IV ON SPATIAL INFORMATION SCIENCE." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B4-2020 (August 24, 2020): 7–9. http://dx.doi.org/10.5194/isprs-archives-xliii-b4-2020-7-2020.
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Abstract. The unusual circumstances created by the coronavirus pandemic has impacted recent activities of Commission IV. The situation also provides an excellent opportunity to connect the work of the Commission to addressing an important global problem. Managing the social and economic challenges brought by increased complexity and interconnectivity of activities in human society requires new dimensions of analysing information and specifically spatial information. The increased pressure on the usage of geographic space, maintaining sustainable development and creating liveable community environments increases the requirements for spatial decision-making tools. Commission IV Spatial Information Science (2016–2020) is dedicated to advance research activities in spatial information sciences for modelling, structuring, management, analysis, visualization and simulation of (big) data with focus on the third spatial dimension and taking into consideration dynamic changes. Special attention is given to linking information about real-world physical phenomena with societal, organizational and legal information in order to address the complexity of issues in their entirety. The Commission has contributed to advancements in data modelling, data fusion and management, visualization (web-based, VR and AR), simulation and city analytics, and 3D applications. The work had largely been implemented in cooperation with international organizations such as FIG, UDMS, 3DGeoinfo, ICA, OGC, ISO and Web3D.The Commission consists of 10 scientific areas of research that is coordinated by 10 working groups (WG) as follows - WG1: Strengthen the work on multidimensional spatial model and representations towards seamless data fusion; WG2: Advance the semantic modelling, development and linking of ontologies; WG3: Intensify research into data interpretation, quality and uncertainty modelling; WG4: Strengthen research on crowdsourced data and public participation, towards community-driven and participatory applications, collaborative mapping and use/usability of maps; WG5: Strengthen research on seamless indoor/outdoor location-based services, navigation and tracking, and analysis of human movement; WG6: Advance interoperable Internet of Things, Sensor web, SDI and linked data; WG7: Advance research on spatial data types, indexing methods and analysis to further contribute to development of spatial DBMS for management and analysis of multi-dimensional data; WG8: Encourage the use of functional programming and streaming algorithms in development of demos and applications as well as parallel and distributed processing paradigms; WG9: Advance visual analytics, online multi-dimensional visualization on mobile and desktop devices, considering human-centred applications, privacy and security issues; WG10: Advance knowledge on the use of spatial information (BIM/GIS) for urban modelling; ICWG IV/III: Global Mapping: Updating, Verification and Interoperability with the mission to promote the development of advanced methodologies and applications for the update, verification and interoperability of geospatial databases.The papers received for the ISPRS congress reflect the above-mentioned scientific research areas. The reported research ranges from advancements in new and emerging theories, through experiments and analysis to demonstration of technologies in different applications. The research was captured through papers and abstracts published in the collection of ISPRS Annals and ISPRS Archives. The papers and abstracts were selected for inclusion through a rigorous peer-review process. The ISPRS Annals contain 29 papers and the ISPRS Archives contain 114 papers. The diversity of the research topics presented in the published papers clearly indicate the wide range of topics within the field of Spatial Information Science. A rigorous peer-review process by the ISPRS TC IV Scientific Committee Working Group Chairs ensured hight quality and scientific innovation.
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Zlatanova, S., S. Dragicevic, and G. Sithole. "Preface: Technical Commission IV on Spatial Information Science." ISPRS Annals of Photogrammetry, Remote Sensing and Spatial Information Sciences V-4-2020 (August 3, 2020): 7–9. http://dx.doi.org/10.5194/isprs-annals-v-4-2020-7-2020.
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Abstract. The unusual circumstances created by the coronavirus pandemic has impacted recent activities of Commission IV. The situation also provides an excellent opportunity to connect the work of the Commission to addressing an important global problem. Managing the social and economic challenges brought by increased complexity and interconnectivity of activities in human society requires new dimensions of analysing information and specifically spatial information. The increased pressure on the usage of geographic space, maintaining sustainable development and creating liveable community environments increases the requirements for spatial decision-making tools. Commission IV Spatial Information Science (2016–2020) is dedicated to advance research activities in spatial information sciences for modelling, structuring, management, analysis, visualization and simulation of (big) data with focus on the third spatial dimension and taking into consideration dynamic changes. Special attention is given to linking information about real-world physical phenomena with societal, organizational and legal information in order to address the complexity of issues in their entirety. The Commission has contributed to advancements in data modelling, data fusion and management, visualization (web-based, VR and AR), simulation and city analytics, and 3D applications. The work had largely been implemented in cooperation with international organizations such as FIG, UDMS, 3DGeoinfo, ICA, OGC, ISO and Web3D.The Commission consists of 10 scientific areas of research that is coordinated by 10 working groups (WG) as follows - WG1: Strengthen the work on multidimensional spatial model and representations towards seamless data fusion; WG2: Advance the semantic modelling, development and linking of ontologies; WG3: Intensify research into data interpretation, quality and uncertainty modelling; WG4: Strengthen research on crowdsourced data and public participation, towards community-driven and participatory applications, collaborative mapping and use/usability of maps; WG5: Strengthen research on seamless indoor/outdoor location-based services, navigation and tracking, and analysis of human movement; WG6: Advance interoperable Internet of Things, Sensor web, SDI and linked data; WG7: Advance research on spatial data types, indexing methods and analysis to further contribute to development of spatial DBMS for management and analysis of multi-dimensional data; WG8: Encourage the use of functional programming and streaming algorithms in development of demos and applications as well as parallel and distributed processing paradigms; WG9: Advance visual analytics, online multi-dimensional visualization on mobile and desktop devices, considering human-centred applications, privacy and security issues; WG10: Advance knowledge on the use of spatial information (BIM/GIS) for urban modelling; ICWG IV/III: Global Mapping: Updating, Verification and Interoperability with the mission to promote the development of advanced methodologies and applications for the update, verification and interoperability of geospatial databases.The papers received for the ISPRS congress reflect the above-mentioned scientific research areas. The reported research ranges from advancements in new and emerging theories, through experiments and analysis to demonstration of technologies in different applications. The research was captured through papers and abstracts published in the collection of ISPRS Annals and ISPRS Archives. The papers and abstracts were selected for inclusion through a rigorous peer-review process. The ISPRS Annals contain 29 papers and the ISPRS Archives contain 114 papers. The diversity of the research topics presented in the published papers clearly indicate the wide range of topics within the field of Spatial Information Science. A rigorous peer-review process by the ISPRS TC IV Scientific Committee Working Group Chairs ensured hight quality and scientific innovation.
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Rolan, Gregory. "Towards interoperable recordkeeping systems." Records Management Journal 27, no. 2 (July 17, 2017): 125–48. http://dx.doi.org/10.1108/rmj-09-2016-0027.
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Purpose The purpose of this paper is to introduce an infrastructural approach to metadata modelling and a generalised meta-model for recordkeeping metadata. This meta-model is an attempt to support interoperability between disparate systems, and particularly, between sets of ostensibly incommensurate record documentation. Design/methodology/approach The investigation used a reflective design-science investigation comprising interviews adaptive literature review, creation of conceptual models and the design and instantiation of a proof-of-concept system. Findings The investigation confirms that recordkeeping interoperability between disparate ontologies is achievable through a meta-model approach. In particular, the meta-model carefully defines relationships between entities with specific semantics that enable the development of interoperable domain schemas. Practical implications A meta-model for recordkeeping metadata facilitates the development of recordkeeping systems that possess interoperability-by-design. Social implications Recordkeeping systems that conform to the meta-model can, therefore, transcend the immediate transactional context and support participatory recordkeeping in terms of a plurality of stakeholder world views and agency in records. Originality/value This paper is one of the few reporting design-science approaches to recordkeeping informatics and one that has used a meta-model approach for recordkeeping metadata design. In contrast to most empirically determined metadata schemas, the top-down design approach has produced a schema from a wide variety of ontological sources.
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Sunguroğlu Hensel, Defne. "Ecological Prototypes: Initiating Design Innovation in Green Construction." Sustainability 12, no. 14 (July 21, 2020): 5865. http://dx.doi.org/10.3390/su12145865.
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This article identifies a gap in the approaches to Green Construction (GC), and initiates a line of research in the area of the so-called “ecological prototypes”. Ecological prototypes, stands for a new type of GC, which are integrated and adaptive systems of design, construction and practices that link architecture, horticulture and agriculture, landscape and ecology. This type of system greatly expands the existing GC design space with the aim to tackle environmental challenges in the context of rapid urbanization. This new type of GC seeks to reconcile the different environmental needs and goals, and balance intensification and restoration trade-offs. They are considered as a key strategy for supporting ecosystems and the delivery of ecosystem services, especially in degraded peri-urban and urban contexts. This effort commences with a review of selected historical cases that have evolved over time as vital part of horticultural and agricultural systems. These historical studies can both inform future research on the development of ecological prototypes and aid their design. Following the examination of selected cases and a field survey, the role of information modelling and data-driven computational methods in designing ecological prototypes is discussed. The decision support system for this new type of GC based on information and knowledge modelling (computational ontologies) is given a particular attention. Finally, further research questions and steps are outlined.
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Solomonides, T., Casassa Mont, S. Shiu, M. Rahmouni, and Boussi Rahmouni. "A Model-driven Privacy Compliance Decision Support for Medical Data Sharing in Europe." Methods of Information in Medicine 50, no. 04 (2011): 326–36. http://dx.doi.org/10.3414/me10-01-0075.
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SummaryObjectives: Clinical practitioners and medical researchers often have to share health data with other colleagues across Europe. Privacy compliance in this context is very important but challenging. Automated privacy guidelines are a practical way of increasing users’ awareness of privacy obligations and help eliminating unintentional breaches of privacy. In this paper we present an ontology-plus-rules based approach to privacy decision support for the sharing of patient data across European platforms.Methods: We use ontologies to model the required domain and context information about data sharing and privacy requirements. In addition, we use a set of Semantic Web Rule Language rules to reason about legal privacy requirements that are applicable to a specific context of data disclosure. We make the complete set invocable through the use of a semantic web application acting as an interactive privacy guideline system can then invoke the full model in order to provide decision support.Results: When asked, the system will generate privacy reports applicable to a specific case of data disclosure described by the user. Also reports showing guidelines per Member State may be obtained.Conclusion: The advantage of this approach lies in the expressiveness and extensibility of the modelling and inference languages adopted and the ability they confer to reason with complex requirements interpreted from high level regulations. However, the system cannot at this stage fully simulate the role of an ethics committee or review board.
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Zlatanova, S., S. Dragicevic, and G. Sithole. "PREFACE: TECHNICAL COMMISSION IV." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences V-4-2021 (June 17, 2021): 7–8. http://dx.doi.org/10.5194/isprs-annals-v-4-2021-7-2021.
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Abstract. The world is facing the second year of the Covid-19 global pandemic that has affected many around the world. Despite the challenges, ISPRS is organizing its second consecutive virtual Congress to motivate, inspire and connect geospatial researchers around the globe to share the knowledge and communicate their research results. This year Commission IV shares the successful research endeavours of many members of working groups and their graduate students and research teams.In the years since the XXIII ISPRS congress, 2016, there have been many important developments. Managing the social and economic challenges brought by increased complexity and interconnectivity of activities in human society requires new dimensions of analysing information and specifically spatial information. The increased pressure on the usage of geographic space, maintaining sustainable development and creating liveable community environments increases the requirements for spatial decision-making tools. The last years of Covid-19 restrictions and lockdowns pose a range of new challenges to spatial information such as occupancy estimations, efficient use of building space and safe navigation within buildings. The focus on dynamic changes and analysing real-time sensor data is increasing. The developments of Spatial Digital Twins are maturing in the context of providing tools and methods for high density human settlements to be more resilient, sustainable, liveable, and safe.Commission IV Spatial Information Science (2016–2022) is dedicated to advance research activities in spatial information sciences for modelling, structuring, management, analysis, visualization and simulation of (big) data with focus on the third spatial dimension and taking into consideration dynamic changes. Special attention is given to linking information about real-world physical phenomena with societal, governmental, organizational and legal information in order to address the complexity of issues in their entirety. The Commission has contributed to advancements in data modelling, data fusion and management, visualization (web-based, VR and AR), simulation and city analytics, and 3D applications. The work had largely been implemented in cooperation with international organizations such as FIG, UDMS, 3DGeoinfo, ICA, OGC, ISO and Web3D.The Commission consists of 10 scientific areas of research that is coordinated by 10 working groups (WG) and one inter commission working group (ICWG) as follows – WG1: Multidimensional spatial models; WG2: Ontologies, semantics and knowledge representation for geospatial information; WG3: Spatial data analysis, statistic and uncertainty modelling; WG4: Collaborative crowdsourced cloud mapping (C3M); WG5: Indoor/outdoor seamless modelling, LBS and mobility; WG6: SDI: Internet of things and spatial decision support; WG7: Geo-data management; WG8: Geo-computation and geo-simulation; WG9: Geovisualisation, augmented and virtual reality; WG10: Advanced geospatial applications for smart cities and regions; ICWG IV/III: Global mapping: updating, verification and interoperability.The papers received for the ISPRS virtual event reflect the above-mentioned scientific research areas. The reported research ranges from advancements in new and emerging theories, through experiments and analysis to demonstration of technologies in different applications. The research was captured through papers and abstracts published in the collection of ISPRS Annals and ISPRS Archives. The ISPRS Annals contain 24 papers and the ISPRS Archives contain 56 papers. The diversity of the research presented in the published papers clearly indicates the wide range of topics within the field of Spatial Information Science. A rigorous peer-review process by the ISPRS TC IV Scientific Committee contributed to high quality proceedings.In closing we would like to note the commission’s plans for the upcoming year. Because the pandemic has forced many to work remotely, we have been motivated to find new ways to remain informed of changes in the work of the commission and working groups. The commission plans to host monthly webinars at which working groups can showcase their activities and achievements. We hope that this will generate greater interest in the work of the commission and enhance the profile of the commission’s working groups.
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Zlatanova, S., S. Dragicevic, and G. Sithole. "PREFACE: TECHNICAL COMMISSION IV." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B4-2021 (June 30, 2021): 7–8. http://dx.doi.org/10.5194/isprs-archives-xliii-b4-2021-7-2021.
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Abstract. The world is facing the second year of the Covid-19 global pandemic that has affected many around the world. Despite the challenges, ISPRS is organizing its second consecutive virtual Congress to motivate, inspire and connect geospatial researchers around the globe to share the knowledge and communicate their research results. This year Commission IV shares the successful research endeavours of many members of working groups and their graduate students and research teams.In the years since the XXIII ISPRS congress, 2016, there have been many important developments. Managing the social and economic challenges brought by increased complexity and interconnectivity of activities in human society requires new dimensions of analysing information and specifically spatial information. The increased pressure on the usage of geographic space, maintaining sustainable development and creating liveable community environments increases the requirements for spatial decision-making tools. The last years of Covid-19 restrictions and lockdowns pose a range of new challenges to spatial information such as occupancy estimations, efficient use of building space and safe navigation within buildings. The focus on dynamic changes and analysing real-time sensor data is increasing. The developments of Spatial Digital Twins are maturing in the context of providing tools and methods for high density human settlements to be more resilient, sustainable, liveable, and safe.Commission IV Spatial Information Science (2016–2022) is dedicated to advance research activities in spatial information sciences for modelling, structuring, management, analysis, visualization and simulation of (big) data with focus on the third spatial dimension and taking into consideration dynamic changes. Special attention is given to linking information about real-world physical phenomena with societal, governmental, organizational and legal information in order to address the complexity of issues in their entirety. The Commission has contributed to advancements in data modelling, data fusion and management, visualization (web-based, VR and AR), simulation and city analytics, and 3D applications. The work had largely been implemented in cooperation with international organizations such as FIG, UDMS, 3DGeoinfo, ICA, OGC, ISO and Web3D.The Commission consists of 10 scientific areas of research that is coordinated by 10 working groups (WG) and one inter commission working group (ICWG) as follows – WG1: Multidimensional spatial models; WG2: Ontologies, semantics and knowledge representation for geospatial information; WG3: Spatial data analysis, statistic and uncertainty modelling; WG4: Collaborative crowdsourced cloud mapping (C3M); WG5: Indoor/outdoor seamless modelling, LBS and mobility; WG6: SDI: Internet of things and spatial decision support; WG7: Geo-data management; WG8: Geo-computation and geo-simulation; WG9: Geovisualisation, augmented and virtual reality; WG10: Advanced geospatial applications for smart cities and regions; ICWG IV/III: Global mapping: updating, verification and interoperability.The papers received for the ISPRS virtual event reflect the above-mentioned scientific research areas. The reported research ranges from advancements in new and emerging theories, through experiments and analysis to demonstration of technologies in different applications. The research was captured through papers and abstracts published in the collection of ISPRS Annals and ISPRS Archives. The ISPRS Annals contain 24 papers and the ISPRS Archives contain 56 papers. The diversity of the research presented in the published papers clearly indicates the wide range of topics within the field of Spatial Information Science. A rigorous peer-review process by the ISPRS TC IV Scientific Committee contributed to high quality proceedings.In closing we would like to note the commission’s plans for the upcoming year. Because the pandemic has forced many to work remotely, we have been motivated to find new ways to remain informed of changes in the work of the commission and working groups. The commission plans to host monthly webinars at which working groups can showcase their activities and achievements. We hope that this will generate greater interest in the work of the commission and enhance the profile of the commission’s working groups.
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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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Guerra de Oliveira, Sara, Salvatore Antonio Biancardo, and Andrej Tibaut. "Optimizing H-BIM Workflow for Interventions on Historical Building Elements." Sustainability 14, no. 15 (August 6, 2022): 9703. http://dx.doi.org/10.3390/su14159703.
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Intervention projects for historical buildings depend on the quality of multidisciplinary data sets; their collection, structure, and semantics. Building information model (BIM) based workflows for historical buildings accumulate some of the data sets in a shared information model that contains the building’s geometry assemblies with associated attributes (such as material). A BIM model of any building can be a source of data for different engineering assessments, for example, solar and wind exposure and seismic vulnerability, but for historic buildings it is particularly important for interventions like conservation, rehabilitation, and improvements such as refurbishment and retrofitting. When the BIM model is abstracted to a semantic model, enabling the use of semantic technologies such as reasoning and querying, semantic links can be established to other historical contexts. The semantic technologies help historic building experts to aggregate data into meaningful form. Ontologies provide them with an accurate knowledge representation of the concepts, relationships, and rules related to the historic building. In the paper, we are proposing an improved workflow for the transformation of a heritage BIM model to a semantic model. In the BIM part the workflow demonstrates how the fully parametric modelling of historical building components is relevant, for example, in terms of reusability and adaptation to a different context. In the semantic model part, ontology reuse, reasoning, and querying mechanisms are applied to validate the usability of the proposed workflow. The presented work will improve knowledge-sharing and reuse among stakeholders involved in historic building projects.
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Mejía, Jezreel, Rafael Valencia-García, Giner Alor-Hernández, and José A. Calvo-Manzano. "Knowledge Intensive Software Engineering Applications." JUCS - Journal of Universal Computer Science 27, no. 2 (February 28, 2021): 87–90. http://dx.doi.org/10.3897/jucs.65078.
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The use of Information and Communication Technologies (ICTs) has become a competitive strategy that allows organizations to position themselves within their market of action. In addition, the evolution, advancement and use of ICTs within any type of organization have created new domains of interest. In this context, Knowledge-intensive software engineering applications are becoming crucial in organizations to support their performance. Knowledge-based technologies provide a consistent and reliable basis to face the challenges for organization, manipulation and visualization of the data and knowledge, playing a crucial role as the technological basis of the development of a large number of information systems. In software engineering, it involves the integration of various knowledge sources that are in constant change. Knowledge-intensive software applications are becoming more significant because the domains of many software applications are inherently knowledge-intensive and this knowledge is often not explicitly dealt with in software development. This impedes maintenance and reuse. Moreover, it is generally known that developing software requires expertise and experience, which are currently also implicit and could be made more tangible and reusable using knowledge-based or related techniques. Furthermore, organizations have recognized that the software engineering applications are an optimal way for providing solutions, because it is a file that is constantly evolving due to the new challenges. Examples of approaches that are directly related to this tendency are data analysis, software architectures, knowledge engineering, ontologies, conceptual modelling, domain analysis and domain engineering, business rules, workflow management, human and cultural factors, to mention but a few. Therefore, tools and techniques are necessary to capture and process knowledge in order to facilitate subsequent development efforts, especially in the domain of software engineering.
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Jones, Matthew B. "Meta-information systems and ontologies." Ecological Informatics 2, no. 3 (October 2007): 193–94. http://dx.doi.org/10.1016/j.ecoinf.2007.09.003.
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Zouggar, Nabila, Bruno Vallespir, and David Chen. "Semantic enrichment of enterprise modelling supported by ontologies." Ingénierie des systèmes d'information 13, no. 2 (April 30, 2008): 75–95. http://dx.doi.org/10.3166/isi.13.2.75-95.
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dos Santos Moreira, Edson, Luciana Andréia Fondazzi Martimiano, Antonio José dos Santos Brandão, and Mauro César Bernardes. "Ontologies for information security management and governance." Information Management & Computer Security 16, no. 2 (June 6, 2008): 150–65. http://dx.doi.org/10.1108/09685220810879627.
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MONTIEL-PONSODA, E., G. AGUADO DE CEA, A. GÓMEZ-PÉREZ, and W. PETERS. "Enriching ontologies with multilingual information." Natural Language Engineering 17, no. 3 (June 9, 2010): 283–309. http://dx.doi.org/10.1017/s1351324910000082.
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AbstractThis paper presents a novel approach to ontology localization with the objective of obtaining multilingual ontologies. Within the ontology development process, ontology localization has been defined as the activity of adapting an ontology to a concrete linguistic and cultural community. Depending on the ontology layers – terminological and/or conceptual – involved in the ontology localization activity, three heterogeneous multilingual ontology metamodels have been identified, of which we propose one of them. Our proposal consists in associating the ontology metamodel to an external model for representing and structuring lexical and terminological data in different natural languages. Our model has been called Linguistic Information Repository (LIR). The main advantages of this modelling modality rely on its flexibility by allowing (1) the enrichment of any ontology element with as much linguistic information as needed by the final application, and (2) the establishment of links among linguistic elements within and across different natural languages. The LIR model has been designed as an ontology of linguistic elements and is currently available in Web Ontology Language (OWL). The set of lexical and terminological data that it provides to ontology elements enables the localization of any ontology to a certain linguistic and cultural universe. The LIR has been evaluated against the multilingual requirements of the Food and Agriculture Organization of the United Nations in the framework of the NeOn project. It has proven to solve multilingual representation problems related to the establishment of well-defined relations among lexicalizations within and across languages, as well as conceptualization mismatches among different languages. Finally, we present an extension to the Ontology Metadata Vocabulary, the so-called LexOMV, with the aim of reporting on multilinguality at the ontology metadata level. By adding this contribution to the LIR model, we account for multilinguality at the three levels of an ontology: data level, knowledge representation level and metadata level.
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Nuradiansyah, Adrian. "Reasoning in Description Logic Ontologies for Privacy Management." KI - Künstliche Intelligenz 34, no. 3 (July 4, 2020): 411–15. http://dx.doi.org/10.1007/s13218-020-00681-8.
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Abstract This work is initially motivated by a privacy scenario in which the confidential information about persons or its properties formulated in description logic (DL) ontologies should be kept hidden. We investigate procedures to detect whether this confidential information can be disclosed in a certain situation by using DL formalisms. If it is the case that this information can be deduced from the ontologies, which implies certain privacy policies are not fulfilled, then one needs to consider methods to repair these ontologies in a minimal way such that the modified ontologies complies with the policies. However, privacy compliance itself is not enough if a possible attacker can also obtain relevant information from other sources, which together with the modified ontologies might violate the privacy policy. This article provides a summary of studies and results from Adrian Nuradiansyah’s Ph.D. dissertation that are corresponding to the addressed problem above with a special emphasis on the investigations on the worst-case complexities of those problems as well as the complexity of the procedures and algorithms solving the problems.
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Bukharov, M. N. "Information system for ontological modelling the subject areas." Informatics 19, no. 2 (March 10, 2022): 85–99. http://dx.doi.org/10.37661/1816-0301-2022-19-2-85-99.
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Objectives. The creation of ontologies of subject areas is considered. The goal is to develop a mathematical model of ontology and the information system for ontological modeling. The task is to reduce the complexity of ontological modeling.Methods. As research methods, the theory of hybrid intelligence systems, the theory of sets, elements of mathematical logic, methods for developing the information systems, comparative analysis of information systems, informal analysis of information system were used.Results. Mathematical model of ontology using the concept of metaobject is developed. Ontological modelling based on this model involves specification, conceptualization and formalization. A glossary of terms is being built at the specification stage. At the conceptualization stage, objects in the subject area and their hierarchy are defined, and then connections between objects are identified. In the formalization stage, the metaobjects and the relationships between metaobjects that correspond to objects and the relationships between objects were defined. This is considered as the ontology of the subject area. During the actualization stage, the parameters of subject area objects and their values, classes, subclasses, and instances of classes were defined. Parameters, parameter values, classes, subclasses, and instances of classes are implemented in ontology as metaobjects of relative types. An information system with a unique architecture has been developed, namely a hybrid intelligence system for the automation of ontological modelling.Conclusion. The article conducts a comparative analysis of the developed information system with the systems used today for creation of ontologies. The analysis showed that the information system developed by paper author in most parameters is not inferior to considered systems and at the same time easier to use and expand. The mathematical model of ontology and the information system for ontological modeling of subject areas, developed by author, are tested in practical creation of ontology on ecology. On the basis of the conducted comparative analysis and informal analysis of practical use, it is concluded that ontological modeling with the help of the information system developed by author reduces the labor intensity and decreases the time of ontologies creation.
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Breuker, Joost, André Valente, and Radboud Winkels. "Legal Ontologies in Knowledge Engineering and Information Management." Artificial Intelligence and Law 12, no. 4 (December 2004): 241–77. http://dx.doi.org/10.1007/s10506-006-0002-1.
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Jurisica, Igor, John Mylopoulos, and Eric Yu. "Ontologies for Knowledge Management: An Information Systems Perspective." Knowledge and Information Systems 6, no. 4 (July 2004): 380–401. http://dx.doi.org/10.1007/s10115-003-0135-4.
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Ye, Kang, Shanshan Wang, Jiaqi Yan, Huaiqing Wang, and Baiqi Miao. "Ontologies for crisis contagion management in financial institutions." Journal of Information Science 35, no. 5 (June 11, 2009): 548–62. http://dx.doi.org/10.1177/0165551509105194.
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What makes crisis management in financial institutions fairly unique and particularly complex is the accompanying crisis contagion or systemic risk. The subprime mortgage crisis currently happening in the USA is a typical example. In order to further deepen our understanding of how crisis contagion occurs and enhance information interchange and knowledge sharing among related entities, ontologies for crisis contagion management in financial institutions are proposed in this study. Three categories of ontologies, which include static ontology, dynamic ontology, and social ontology, are developed to deal with different perspectives in this domain. The three types of ontology are then united in the Ontology Web Language (OWL) and the Semantic Web Rules Languages (SWRL) framework, both of which are machine readable. Finally, the case of Long-Term Capital Management (LTCM) is offered to demonstrate how the proposed ontologies are used in financial institutions.
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Bodenreider, O. "Biomedical Ontologies in Action: Role in Knowledge Management, Data Integration and Decision Support." Yearbook of Medical Informatics 17, no. 01 (August 2008): 67–79. http://dx.doi.org/10.1055/s-0038-1638585.
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Summary Objectives To provide typical examples of biomedical ontologies in action, emphasizing the role played by biomedical ontologies in knowledge management, data integration and decision support. MethodsBiomedical ontologies selected for their practical impact are examined from a functional perspective. Examples of applications are taken from operational systems and the biomedical literature, with a bias towards recent journal articles. Results The ontologies under investigation in this survey include SNOMED CT, the Logical Observation Identifiers, Names, and Codes (LOINC), the Foundational Model of Anatomy, the Gene Ontology, RxNorm, the National Cancer Institute Thesaurus, the International Classification of Diseases, the Medical Subject Headings (MeSH) and the Unified Medical Language System (UMLS). The roles played by biomedical ontologies are classified into three major categories: knowledge management (indexing and retrieval of data and information, access to information, mapping among ontologies); data integration, exchange and semantic interoperability; and decision support and reasoning (data selection and aggregation, decision support, natural language processing applications, knowledge discovery). Conclusions Ontologies play an important role in biomedical research through a variety of applications. While ontologies are used primarily as a source of vocabulary for standardization and integration purposes, many applications also use them as a source of computable knowledge. Barriers to the use of ontologies in biomedical applications are discussed.Geissbuhler A, Kulikowski C, editors. IMIA Year book of Medical Informatics 2008.
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Munir, Kamran, and M. Sheraz Anjum. "The use of ontologies for effective knowledge modelling and information retrieval." Applied Computing and Informatics 14, no. 2 (July 2018): 116–26. http://dx.doi.org/10.1016/j.aci.2017.07.003.
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Marco Suarez, and Kathleen Salinas. "Using Ontologies for Information Management on Electronic Clinical Records." International Journal of Advancements in Computing Technology 5, no. 11 (July 31, 2013): 171–78. http://dx.doi.org/10.4156/ijact.vol5.issue11.18.
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Stuckenschmidt, Heiner, and Michel Klein. "Reasoning and change management in modular ontologies." Data & Knowledge Engineering 63, no. 2 (November 2007): 200–223. http://dx.doi.org/10.1016/j.datak.2007.02.001.
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O'Hara, Kieron. "Ontologies and technologies." ACM SIGIR Forum 38, no. 2 (December 2004): 11–17. http://dx.doi.org/10.1145/1041394.1041397.
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Bertens, Laura M. F., Joris Slob, and Fons J. Verbeek. "A generic organ based ontology system, applied to vertebrate heart anatomy, development and physiology." Journal of Integrative Bioinformatics 8, no. 1 (March 1, 2011): 48–65. http://dx.doi.org/10.1515/jib-2011-167.
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Summary We present a novel approach to modelling biological information using ontologies. The system interlinks three ontologies, comprising anatomical, developmental and taxonomical information, and includes instances of structures for different species. The framework is constructed for comparative analyses in the field of evolutionary development. We have applied the approach to the vertebrate heart and present four case studies of the functionality of the system, focusing on cross-species comparisons, developmental studies, physiological studies and 3D visualisation.
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Zhitomirsky-Geffet, Maayan, and Golan Avidan. "A New Framework for Systematic Analysis and Classification of Inconsistencies in Multi-Viewpoint Ontologies." KNOWLEDGE ORGANIZATION 48, no. 5 (2021): 331–44. http://dx.doi.org/10.5771/0943-7444-2021-5-331.
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Plurality of beliefs and theories in different knowledge domains calls for modelling multi-viewpoint ontologies and knowledge organization systems (KOS). A generic theoretical approach recently proposed for heterogeneity representation in KOS was linking each ontological statement to a specific validity scope to determine a set of conditions under which the statement is valid. However, the practical applicability of this approach has yet to be empirically assessed. In addition, there is still a need to investigate the types of inconsistencies that might arise in multi-viewpoint ontologies as well as their possible causes. This study proposes a new framework for systematic analysis and classification of inconsistencies in multi-viewpoint ontologies. The framework is based on eight generic logical structures of ontological statements. To test the validity of the proposed framework, two ontologies from different knowledge domains were examined. We found that only three of the eight structures led to inconsistencies in both ontologies, while the other two structures were always present in logically consistent statements. The study has practical implications for building diversified and personalized knowledge systems.
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Szczerbicki, E. "EDITORIAL: KNOWLEDGE MANAGEMENT AND ONTOLOGIES—PART I." Cybernetics and Systems 38, no. 5-6 (June 8, 2007): 451–53. http://dx.doi.org/10.1080/01969720701344202.
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Szczerbicki, Edward. "EDITORIAL: KNOWLEDGE MANAGEMENT AND ONTOLOGIES—PART II." Cybernetics and Systems 38, no. 8 (October 31, 2007): 755–57. http://dx.doi.org/10.1080/01969720701601015.
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KOGUT, PAUL, STEPHEN CRANEFIELD, LEWIS HART, MARK DUTRA, KENNETH BACLAWSKI, MIECZYSLAW KOKAR, and JEFFREY SMITH. "UML for ontology development." Knowledge Engineering Review 17, no. 1 (March 2002): 61–64. http://dx.doi.org/10.1017/s0269888902000358.
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Ontologies are becoming increasingly important because they provide the critical semantic foundation for many rapidly expanding technologies such as software agents, e-commerce and knowledge management (McGuinness, 2002). The Unified Modelling Language (UML)1 has been widely adopted by the software engineering community and its scope is broadening to include more diverse modelling tasks. This paper discusses the recent convergence of UML and ontologies and suggests some possible future directions.
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Solano, L. "Ontological modelling of welding processes." IOP Conference Series: Materials Science and Engineering 1193, no. 1 (October 1, 2021): 012019. http://dx.doi.org/10.1088/1757-899x/1193/1/012019.
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Abstract In this work, an ontological model for welding processes is proposed and the need to manage the information and knowledge associated with such complex discipline is justified. First, an overview of the meaning and use of the models for this purpose and the concept of interoperability applied to the information contained in the welding standards is given. Next, an approach to the concept of ontology is made, the ontology applications for engineering, basic functionalities of ontologies and the way in which they are implemented. The work concludes showing some entities of the proposed ontology, focusing on the definition and classification of welding processes and knowledge inference based on the information contained in the ontology.
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Schneider, Thomas, and Mantas Šimkus. "Ontologies and Data Management: A Brief Survey." KI - Künstliche Intelligenz 34, no. 3 (August 13, 2020): 329–53. http://dx.doi.org/10.1007/s13218-020-00686-3.
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Abstract Information systems have to deal with an increasing amount of data that is heterogeneous, unstructured, or incomplete. In order to align and complete data, systems may rely on taxonomies and background knowledge that are provided in the form of an ontology. This survey gives an overview of research work on the use of ontologies for accessing incomplete and/or heterogeneous data.
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Andreasen, Troels, and Jørgen Fischer Nilsson. "Grammatical specification of domain ontologies." Data & Knowledge Engineering 48, no. 2 (February 2004): 221–30. http://dx.doi.org/10.1016/s0169-023x(03)00107-1.
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Ma, Yinglong, Beihong Jin, and Yulin Feng. "Dynamic evolutions based on ontologies." Knowledge-Based Systems 20, no. 1 (February 2007): 98–109. http://dx.doi.org/10.1016/j.knosys.2006.04.017.
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Wang, Peng, Yunyan Hu, Shaochen Bai, and Shiyi Zou. "Matching Biomedical Ontologies: Construction of Matching Clues and Systematic Evaluation of Different Combinations of Matchers." JMIR Medical Informatics 9, no. 8 (August 19, 2021): e28212. http://dx.doi.org/10.2196/28212.
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Background Ontology matching seeks to find semantic correspondences between ontologies. With an increasing number of biomedical ontologies being developed independently, matching these ontologies to solve the interoperability problem has become a critical task in biomedical applications. However, some challenges remain. First, extracting and constructing matching clues from biomedical ontologies is a nontrivial problem. Second, it is unknown whether there are dominant matchers while matching biomedical ontologies. Finally, ontology matching also suffers from computational complexity owing to the large-scale sizes of biomedical ontologies. Objective To investigate the effectiveness of matching clues and composite match approaches, this paper presents a spectrum of matchers with different combination strategies and empirically studies their influence on matching biomedical ontologies. Besides, extended reduction anchors are introduced to effectively decrease the time complexity while matching large biomedical ontologies. Methods In this paper, atomic and composite matching clues are first constructed in 4 dimensions: terminology, structure, external knowledge, and representation learning. Then, a spectrum of matchers based on a flexible combination of atomic clues are designed and utilized to comprehensively study the effectiveness. Besides, we carry out a systematic comparative evaluation of different combinations of matchers. Finally, extended reduction anchor is proposed to significantly alleviate the time complexity for matching large-scale biomedical ontologies. Results Experimental results show that considering distinguishable matching clues in biomedical ontologies leads to a substantial improvement in all available information. Besides, incorporating different types of matchers with reliability results in a marked improvement, which is comparative to the state-of-the-art methods. The dominant matchers achieve F1 measures of 0.9271, 0.8218, and 0.5 on Anatomy, FMA-NCI (Foundation Model of Anatomy-National Cancer Institute), and FMA-SNOMED data sets, respectively. Extended reduction anchor is able to solve the scalability problem of matching large biomedical ontologies. It achieves a significant reduction in time complexity with little loss of F1 measure at the same time, with a 0.21% decrease on the Anatomy data set and 0.84% decrease on the FMA-NCI data set, but with a 2.65% increase on the FMA-SNOMED data set. Conclusions This paper systematically analyzes and compares the effectiveness of different matching clues, matchers, and combination strategies. Multiple empirical studies demonstrate that distinguishing clues have significant implications for matching biomedical ontologies. In contrast to the matchers with single clue, those combining multiple clues exhibit more stable and accurate performance. In addition, our results provide evidence that the approach based on extended reduction anchors performs well for large ontology matching tasks, demonstrating an effective solution for the problem.
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