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Metadata and semantics research : 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings (2016)
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- Editor
- Garoufallou, E. et al.
- Language
- e
-
Concepts in Context : Proceedings of the Cologne Conference on Interoperability and Semantics in Knowledge Organization July 19th - 20th, 2010 (2011)
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- Date
- 22. 2.2013 11:34:18
- Language
- e
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Euzenat, J.; Shvaiko, P.: Ontology matching (2010)
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- Abstract
- Ontologies are viewed as the silver bullet for many applications, but in open or evolving systems, different parties can adopt different ontologies. This increases heterogeneity problems rather than reducing heterogeneity. This book proposes ontology matching as a solution to the problem of semantic heterogeneity, offering researchers and practitioners a uniform framework of reference to currently available work. The techniques presented apply to database schema matching, catalog integration, XML schema matching and more. Ontologies tend to be found everywhere. They are viewed as the silver bullet for many applications, such as database integration, peer-to-peer systems, e-commerce, semantic web services, or social networks. However, in open or evolving systems, such as the semantic web, different parties would, in general, adopt different ontologies. Thus, merely using ontologies, like using XML, does not reduce heterogeneity: it just raises heterogeneity problems to a higher level. Euzenat and Shvaiko's book is devoted to ontology matching as a solution to the semantic heterogeneity problem faced by computer systems. Ontology matching aims at finding correspondences between semantically related entities of different ontologies. These correspondences may stand for equivalence as well as other relations, such as consequence, subsumption, or disjointness, between ontology entities. Many different matching solutions have been proposed so far from various viewpoints, e.g., databases, information systems, artificial intelligence. With Ontology Matching, researchers and practitioners will find a reference book which presents currently available work in a uniform framework. In particular, the work and the techniques presented in this book can equally be applied to database schema matching, catalog integration, XML schema matching and other related problems. The objectives of the book include presenting (i) the state of the art and (ii) the latest research results in ontology matching by providing a detailed account of matching techniques and matching systems in a systematic way from theoretical, practical and application perspectives.
- Classification
- TWY (E)
- Date
- 20. 6.2012 19:08:22
- GHBS
- TWY (E)
- Language
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-
Metadata and semantics research : 9th Research Conference, MTSR 2015, Manchester, UK, September 9-11, 2015, Proceedings (2015)
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- Editor
- Garoufallou, E. et al.
- Language
- e
-
Ioannou, E.; Nejdl, W.; Niederée, C.; Velegrakis, Y.: Embracing uncertainty in entity linking (2012)
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Zumer, M.; Zeng, M.L.; Salaba, A.: FRSAD: conceptual modeling of aboutness (2012)
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Hooland, S. van; Verborgh, R.: Linked data for Lilibraries, archives and museums : how to clean, link, and publish your metadata (2014)
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- AWU (E)
- GHBS
- AWU (E)
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Metadata and semantics research : 8th Research Conference, MTSR 2014, Karlsruhe, Germany, November 27-29, 2014, Proceedings (2014)
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Linked data and user interaction : the road ahead (2015)
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Reasoning Web : Semantic Interoperability on the Web, 13th International Summer School 2017, London, UK, July 7-11, 2017, Tutorial Lectures (2017)
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Social tagging in a linked data environment. Edited by Diane Rasmussen Pennington and Louise F. Spiteri. London, UK: Facet Publishing, 2018. 240 pp. £74.95 (paperback). (ISBN 9781783303380) (2019)
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Shah, C.: Collaborative information seeking : the art and science of making the whole greater than the sum of all (2012)
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Semantic search over the Web (2012)
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Sakr, S.; Wylot, M.; Mutharaju, R.; Le-Phuoc, D.; Fundulaki, I.: Linked data : storing, querying, and reasoning (2018)
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