Academic literature on the topic 'Role of semantic web technologie'
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Journal articles on the topic "Role of semantic web technologie"
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.
Full textUnadkat, 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.
Full textZaikin, 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.
Full textAntezana, 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.
Full textIsmael 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.
Full textRico, 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.
Full textNarayanasamy, 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.
Full textYahya, 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.
Full textGarg, 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.
Full textSarkar, 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.
Full textDissertations / Theses on the topic "Role of semantic web technologie"
Norguet, Jean-Pierre. "Semantic analysis in web usage mining." Doctoral thesis, Universite Libre de Bruxelles, 2006. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/210890.
Full textIndeed, according to organizations theory, the higher levels in the organizations need summarized and conceptual information to take fast, high-level, and effective decisions. For Web sites, these levels include the organization managers and the Web site chief editors. At these levels, the results produced by Web analytics tools are mostly useless. Indeed, most of these results target Web designers and Web developers. Summary reports like the number of visitors and the number of page views can be of some interest to the organization manager but these results are poor. Finally, page-group and directory hits give the Web site chief editor conceptual results, but these are limited by several problems like page synonymy (several pages contain the same topic), page polysemy (a page contains several topics), page temporality, and page volatility.
Web usage mining research projects on their part have mostly left aside Web analytics and its limitations and have focused on other research paths. Examples of these paths are usage pattern analysis, personalization, system improvement, site structure modification, marketing business intelligence, and usage characterization. A potential contribution to Web analytics can be found in research about reverse clustering analysis, a technique based on self-organizing feature maps. This technique integrates Web usage mining and Web content mining in order to rank the Web site pages according to an original popularity score. However, the algorithm is not scalable and does not answer the page-polysemy, page-synonymy, page-temporality, and page-volatility problems. As a consequence, these approaches fail at delivering summarized and conceptual results.
An interesting attempt to obtain such results has been the Information Scent algorithm, which produces a list of term vectors representing the visitors' needs. These vectors provide a semantic representation of the visitors' needs and can be easily interpreted. Unfortunately, the results suffer from term polysemy and term synonymy, are visit-centric rather than site-centric, and are not scalable to produce. Finally, according to a recent survey, no Web usage mining research project has proposed a satisfying solution to provide site-wide summarized and conceptual audience metrics.
In this dissertation, we present our solution to answer the need for summarized and conceptual audience metrics in Web analytics. We first described several methods for mining the Web pages output by Web servers. These methods include content journaling, script parsing, server monitoring, network monitoring, and client-side mining. These techniques can be used alone or in combination to mine the Web pages output by any Web site. Then, the occurrences of taxonomy terms in these pages can be aggregated to provide concept-based audience metrics. To evaluate the results, we implement a prototype and run a number of test cases with real Web sites.
According to the first experiments with our prototype and SQL Server OLAP Analysis Service, concept-based metrics prove extremely summarized and much more intuitive than page-based metrics. As a consequence, concept-based metrics can be exploited at higher levels in the organization. For example, organization managers can redefine the organization strategy according to the visitors' interests. Concept-based metrics also give an intuitive view of the messages delivered through the Web site and allow to adapt the Web site communication to the organization objectives. The Web site chief editor on his part can interpret the metrics to redefine the publishing orders and redefine the sub-editors' writing tasks. As decisions at higher levels in the organization should be more effective, concept-based metrics should significantly contribute to Web usage mining and Web analytics.
Doctorat en sciences appliquées
info:eu-repo/semantics/nonPublished
Khilwani, Nitesh. "Role of Semantic web in the changing context of Enterprise Collaboration." Thesis, Loughborough University, 2011. https://dspace.lboro.ac.uk/2134/8495.
Full textShi, Wei, and wshi2001@yahoo com au. "An Extended Role-based Access Control Model for Enterprise Systems and Web Services." RMIT University. Computer Science and Information Technology, 2006. http://adt.lib.rmit.edu.au/adt/public/adt-VIT20070122.122429.
Full textReul, Quentin H. "Role of description logic reasoning in ontology matching." Thesis, University of Aberdeen, 2012. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=186278.
Full textKendel-Smith, Karen. "I'm a web of words : an exploration of the role of the semantic organisation of lingusitic metaphors in the construction of contextual social realities." Thesis, University of Surrey, 2005. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.685076.
Full textHavlena, Jan. "Distribuovaný informační systém založený na sémantických technologiích." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2010. http://www.nusl.cz/ntk/nusl-237211.
Full textČekan, Ondřej. "Systém pro správu obsahu založený na ontologiích." Master's thesis, Vysoké učení technické v Brně. Fakulta informačních technologií, 2013. http://www.nusl.cz/ntk/nusl-236228.
Full textBalog-Crisan, Radu. "La modélisation d'objets pédagogiques pour une plateforme sémantique d'apprentissage." Thesis, Besançon, 2011. http://www.theses.fr/2011BESA1050.
Full textIn order to make Learning Objects (LO) accessible, reusable and adaptable, it is necessary to model them. Besides form and structure, one must also define the semantics associated with a given LO. Thus, we propose a modeling scheme for LOs that respects the LOM (Learning Object Metadata) standard and which uses a RDF-based (Resource Description Framework) data model. In order to encode, exchange and reuse such structured metadata for LOs, we have developed the RDF4LOM (RDF for LOM) application. By using Semantic Web tools, we are able to deliver a prototype of a semantic learning platform (SLCMS) that enhances internal resources, LOs modeled with RDF as well as external resources (semantic wikis, blogs or calendars). The architecture of this SLCMS is based upon a semantic Kernel whose role is to interpret metadata and create intelligent queries. We use ontologies, for the description of semantic constraints and reasoning rules concerning the LOs. By means of accurate and complete ontologies, the LOs will be machine-interpretable and also machine-understandable. For the semantic Quiz module, we have developed the Quiz and LMD ontologies. The semantic learning platform enables searching for appropriate LOs, generating personalized learning paths for learners and, as en evolution, adaptation to learning styles
Khan, Imran. "Cloud-based cost-efficient application and service provisioning in virtualized wireless sensor networks." Thesis, Evry, Institut national des télécommunications, 2015. http://www.theses.fr/2015TELE0019/document.
Full textWireless Sensor Networks (WSNs) are becoming ubiquitous and are used in diverse applications domains. Traditional deployments of WSNs are domain-specific, with applications usually embedded in the WSN, precluding the re-use of the infrastructure by other applications. This can lead to redundant deployments. Now with the advent of IoT, this approach is less and less viable. A potential solution lies in the sharing of a same WSN by multiple applications and services, to allow resource- and cost-efficiency. In this dissertation, three architectural solutions are proposed for this purpose. The first solution consists of two parts: the first part is a novel multilayer WSN virtualization architecture that allows the provisioning of multiple applications and services over the same WSN deployment. The second part of this contribution is the extended architecture that allows virtualized WSN infrastructure to interact with a WSN Platform-as-a-Service (PaaS) at a higher level of abstraction. Both these solutions are implemented and evaluated using two scenario-based proof-of-concept prototypes using Java SunSpot kit. The second architectural solution is a novel data annotation architecture for the provisioning of semantic applications in virtualized WSNs. It is capable of providing in-network, distributed, real-time annotation of raw sensor data and uses overlays as the cornerstone. This architecture is implemented and evaluated using Java SunSpot, AdvanticSys kits and Google App Engine. The third architectural solution is the enhancement to the data annotation architecture on two fronts. One is a heuristic-based genetic algorithm used for the selection of capable nodes for storing the base ontology. The second front is the extension to the proposed architecture to support ontology creation, distribution and management. The simulation results of the algorithm are presented and the ontology management extension is implemented and evaluated using a proof-of-concept prototype using Java SunSpot kit. As another contribution, an extensive state-of-the-art review is presented that introduces the basics of WSN virtualization and motivates its pertinence with carefully selected scenarios. This contribution substantially improves current state-of-the-art reviews in terms of the scope, motivation, details, and future research issues
Abdi, Radia. "Représentation OWL de la ressource lexicale LVF et son utilisation dans le traitement automatique de la langue." Thèse, 2013. http://hdl.handle.net/1866/10432.
Full textThe LVF dictionary (Les Verbes Français) by J. Dubois and F. Dubois-Charlier is one of the most important lexical resources in the French language, which is characterized by a highly relevant semantic and syntactic description. The LVF has been available in an XML format to make access to information more convenient for computer applications such as NLP applications for French language. With the emergence of the Semantic Web and the rapid diffusion of its technologies and standards such as XML, RDF/RDFS and OWL, it would be interesting to represent LVF in a more formalized format for a better and more sophisticated usage by natural language processing and semantic web applications. We present in this paper an OWL ontology version of LVF by demonstrating the mapping process between the data model elements of the XML version and OWL. We give account about its use in the field of natural language processing by presenting an application of semantic annotation developed in GATE.
Books on the topic "Role of semantic web technologie"
Hritz, Carrie, Christian Isendahl, Lisa J. Lucero, John Meunier, Steffen Nijhuis, Payam Ostovar, Clemens Reichel, Vernon L. Scarborough, Federica Sulas, and T. L. Thurston. IF THE PAST TEACHES, WHAT DOES THE FUTURE LEARN? Ancient Urban Regions and the Durable Future. Edited by John T. Murphy and Carole L. Crumley. TU Delft, 2022. http://dx.doi.org/10.47982/bookrxiv.32.
Full textUfimtseva, Nataliya V., Iosif A. Sternin, and Elena Yu Myagkova. Russian psycholinguistics: results and prospects (1966–2021): a research monograph. Institute of Linguistics, Russian Academy of Sciences, 2021. http://dx.doi.org/10.30982/978-5-6045633-7-3.
Full textBook chapters on the topic "Role of semantic web technologie"
Razzak, Faisal. "Semantic Web Technologies’ Role in Smart Environments." In On the Move to Meaningful Internet Systems: OTM 2012 Workshops, 54–58. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33618-8_8.
Full textLi, Man, Dazhi Wang, Xiaoyong Du, and Shan Wang. "Ontology Construction for Semantic Web: A Role-Based Collaborative Development Method." In Web Technologies Research and Development - APWeb 2005, 609–19. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/978-3-540-31849-1_60.
Full textOgbuji, Chimezie. "A Role for Semantic Web Technologies in Patient Record Data Collection." In Linking Enterprise Data, 241–61. Boston, MA: Springer US, 2010. http://dx.doi.org/10.1007/978-1-4419-7665-9_12.
Full textKashyap, Vipul. "From the Bench to the Bedside: The Role of Semantic Web and Translational Medicine for Enabling the Next Generation Healthcare Enterprise." In Biomedical Engineering Systems and Technologies, 35–56. Berlin, Heidelberg: Springer Berlin Heidelberg, 2008. http://dx.doi.org/10.1007/978-3-540-92219-3_3.
Full textVogeler, Georg. "Digital Edition of Archival Material - Machine Access to the Content: On the Role of Semantic Web Technologies in Digital Scholarly Editions." In Atelier de recherche sur les textes médiévaux, 37–56. Turnhout, Belgium: Brepols Publishers, 2020. http://dx.doi.org/10.1484/m.artem-eb.5.117327.
Full textSchmidt, Renate A., and Dmitry Tishkovsky. "Using Tableau to Decide Expressive Description Logics with Role Negation." In The Semantic Web, 438–51. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-76298-0_32.
Full textSchmidtmann, Uwe, Gerd von Cölln, Gerhard Kreutz, Jörg Thomaschewski, Rainer Koers, and Bodo Wenker. "Semantic-Web-Technologie für die ganzheitliche semantische Beschreibung von Mechatronikobjekten." In Echtzeitsysteme im Alltag, 26–35. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/978-3-540-68217-2_4.
Full textLiu, Zhiqiang, and Yan Zhang. "A Semantic Role Mining and Learning Performance Prediction Method in MOOCs." In Web and Big Data, 259–69. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-01298-4_22.
Full textSapkota, Brahmananda, Edward Kilgarriff, and Christoph Bussler. "Role of Triple Space Computing in Semantic Web Services." In Frontiers of WWW Research and Development - APWeb 2006, 714–19. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11610113_63.
Full textParreira, Josiane Xavier, Deepak Dhungana, and Gerhard Engelbrecht. "The Role of RDF Stream Processing in an Smart City ICT Infrastructure - The Aspern Smart City Use Case." In The Semantic Web: ESWC 2015 Satellite Events, 343–52. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25639-9_47.
Full textConference papers on the topic "Role of semantic web technologie"
Wang, Ke. "Automatic Semantic Role Labeling for Chinese." In 2010 IEEE/ACM International Conference on Web Intelligence-Intelligent Agent Technology (WI-IAT). IEEE, 2010. http://dx.doi.org/10.1109/wi-iat.2010.52.
Full textWang, Hongling, Guodong Zhou, Qiaoming Zhu, and Peide Qian. "Exploring Various Features in Semantic Role Labeling." In 2008 International Conference on Advanced Language Processing and Web Information Technology Conference. IEEE, 2008. http://dx.doi.org/10.1109/alpit.2008.74.
Full textStanescu, Georgiana. "THE EVOLUTION OF E-LEARNING BASED ON WEB3.0 AND SEMANTIC TECHNOLOGIES." In eLSE 2016. Carol I National Defence University Publishing House, 2016. http://dx.doi.org/10.12753/2066-026x-16-221.
Full textNing, Mao, Shao Yanqiu, and Liang Chunxia. "Chinese Semantic Role Labeling Based on Genetic Algorithm." In 2012 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT). IEEE, 2012. http://dx.doi.org/10.1109/wi-iat.2012.173.
Full textLee, Joo-Young, Young-In Song, and Hae-Chang Rim. "Investigation of Weakly Supervised Learning for Semantic Role Labeling." In Sixth International Conference on Advanced Language Processing and Web Information Technology (ALPIT 2007). IEEE, 2007. http://dx.doi.org/10.1109/alpit.2007.97.
Full textCapuano, Nicola, Giuseppe Laria, Elvis Mazzoni, Anna Pierri, and Giuseppina Rita Mangione. "Improving Role Taking in CSCL Script Using SNA and Semantic Web." In 2011 11th IEEE International Conference on Advanced Learning Technologies (ICALT). IEEE, 2011. http://dx.doi.org/10.1109/icalt.2011.197.
Full textLiu, Pengyuan, and Shiqi Li. "A Corpus-Based Method to Improve Feature-Based Semantic Role Labeling." In 2011 IEEE/WIC/ACM International Joint Conferences on Web Intelligence (WI) and Intelligent Agent Technologies (IAT). IEEE, 2011. http://dx.doi.org/10.1109/wi-iat.2011.182.
Full textLi, Jihong, Ruibo Wang, Weilin Wang, Bo Gu, and Guochen Li. "Automatic Labeling of Semantic Role on Chinese FrameNet Using Conditional Random Fields." In 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology. IEEE, 2009. http://dx.doi.org/10.1109/wi-iat.2009.277.
Full textHakimova, Aida. "Network Approach for Visualizing the Evolution of the Research of Cross-lingual Semantic Similarity." In International Conference "Computing for Physics and Technology - CPT2020". Bryansk State Technical University, 2020. http://dx.doi.org/10.30987/conferencearticle_5fce2773d960b0.37534641.
Full textIsac, Cassia, José Viterbo, and Aura Conci. "A Survey on Ontology-Based Systems to Support the Prospection, Diagnosis and Treatment of Breast Cancer." In XII Simpósio Brasileiro de Sistemas de Informação. Sociedade Brasileira de Computação, 2016. http://dx.doi.org/10.5753/sbsi.2016.5972.
Full textReports on the topic "Role of semantic web technologie"
Yatsymirska, Mariya. MODERN MEDIA TEXT: POLITICAL NARRATIVES, MEANINGS AND SENSES, EMOTIONAL MARKERS. Ivan Franko National University of Lviv, February 2022. http://dx.doi.org/10.30970/vjo.2022.51.11411.
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