Search (71 results, page 1 of 4)

  • × theme_ss:"Semantic Web"
  • × type_ss:"a"
  • × year_i:[2010 TO 2020}
  1. Papadakis, I. et al.: Highlighting timely information in libraries through social and semantic Web technologies (2016) 0.04 
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    Metadata and semantics research: 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings. Eds.: E. Garoufallou
  2. Prud'hommeaux, E.; Gayo, E.: RDF ventures to boldly meet your most pedestrian needs (2015) 0.02 
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    Bulletin of the Association for Information Science and Technology. 41(2015) no.4, S.18-22
  3. Hooland, S. van; Verborgh, R.; Wilde, M. De; Hercher, J.; Mannens, E.; Wa, R.Van de: Evaluating the success of vocabulary reconciliation for cultural heritage collections (2013) 0.02 
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    Date
    22. 3.2013 19:29:20
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  4. Monireh, E.; Sarker, M.K.; Bianchi, F.; Hitzler, P.; Doran, D.; Xie, N.: Reasoning over RDF knowledge bases using deep learning (2018) 0.02 
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    Date
    16.11.2018 14:22:01
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  5. Brunetti, J.M.; Roberto García, R.: User-centered design and evaluation of overview components for semantic data exploration (2014) 0.01 
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    Date
    20. 1.2015 18:30:22
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  6. Zhitomirsky-Geffet, M.; Bar-Ilan, J.: Towards maximal unification of semantically diverse ontologies for controversial domains (2014) 0.01 
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    Date
    20. 1.2015 18:30:22
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  7. Di Maio, P.: Linked data beyond libraries : towards universal interfaces and knowledge unification (2015) 0.00 
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  8. Rajabi, E.; Sanchez-Alonso, S.; Sicilia, M.-A.: Analyzing broken links on the web of data : An experiment with DBpedia (2014) 0.00 
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  9. Leskinen, P.; Hyvönen, E.: Extracting genealogical networks of linked data from biographical texts (2019) 0.00 
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  10. Lassalle, E.; Lassalle, E.: Semantic models in information retrieval (2012) 0.00 
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  11. Hyvönen, E.; Leskinen, P.; Tamper, M.; Keravuori, K.; Rantala, H.; Ikkala, E.; Tuominen, J.: BiographySampo - publishing and enriching biographies on the Semantic Web for digital humanities research (2019) 0.00 
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  12. Rüther, M.; Fock, J.; Schultz-Krutisch, T.; Bandholtz, T.: Classification and reference vocabulary in linked environment data (2011) 0.00 
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    Classification and ontology: formal approaches and access to knowledge: proceedings of the International UDC Seminar, 19-20 September 2011, The Hague, The Netherlands. Eds.: A. Slavic u. E. Civallero
  13. Assumpção, F.S.; Santarem Segundo, J.E.; Ventura Amorim da Costa Santos, P.L.: RDA element sets and RDA value vocabularies : vocabularies for resource description in the Semantic Web (2015) 0.00 
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    Metadata and semantics research: 9th Research Conference, MTSR 2015, Manchester, UK, September 9-11, 2015, Proceedings. Eds.: E. Garoufallou et al
  14. Stamou, G.; Chortaras, A.: Ontological query answering over semantic data (2017) 0.00 
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  15. Siwecka, D.: Knowledge organization systems used in European national libraries towards interoperability of the semantic Web (2018) 0.00 
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  16. Aslam, S.; Sonkar, S.K.: Semantic Web : an overview (2019) 0.00 
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  17. Maltese, V.; Farazi, F.: Towards the integration of knowledge organization systems with the linked data cloud (2011) 0.00 
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    Classification and ontology: formal approaches and access to knowledge: proceedings of the International UDC Seminar, 19-20 September 2011, The Hague, The Netherlands. Eds.: A. Slavic u. E. Civallero
  18. Allocca, C.; Aquin, M.d'; Motta, E.: Impact of using relationships between ontologies to enhance the ontology search results (2012) 0.00 
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  19. Gómez-Pérez, A.; Corcho, O.: Ontology languages for the Semantic Web (2015) 0.00 
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    Abstract
    Ontologies have proven to be an essential element in many applications. They are used in agent systems, knowledge management systems, and e-commerce platforms. They can also generate natural language, integrate intelligent information, provide semantic-based access to the Internet, and extract information from texts in addition to being used in many other applications to explicitly declare the knowledge embedded in them. However, not only are ontologies useful for applications in which knowledge plays a key role, but they can also trigger a major change in current Web contents. This change is leading to the third generation of the Web-known as the Semantic Web-which has been defined as "the conceptual structuring of the Web in an explicit machine-readable way."1 This definition does not differ too much from the one used for defining an ontology: "An ontology is an explicit, machinereadable specification of a shared conceptualization."2 In fact, new ontology-based applications and knowledge architectures are developing for this new Web. A common claim for all of these approaches is the need for languages to represent the semantic information that this Web requires-solving the heterogeneous data exchange in this heterogeneous environment. Here, we don't decide which language is best of the Semantic Web. Rather, our goal is to help developers find the most suitable language for their representation needs. The authors analyze the most representative ontology languages created for the Web and compare them using a common framework.
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  20. Cahier, J.-P.; Ma, X.; Zaher, L'H.: Document and item-based modeling : a hybrid method for a socio-semantic web (2010) 0.00 
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