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Celli, F. et al.: Enabling multilingual search through controlled vocabularies : the AGRIS approach (2016)
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- Metadata and semantics research: 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings. Eds.: E. Garoufallou
-
Mitchell, J.S.; Zeng, M.L.; Zumer, M.: Modeling classification systems in multicultural and multilingual contexts (2012)
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- Abstract
- This paper reports on the second part of an initiative of the authors on researching classification systems with the conceptual model defined by the Functional Requirements for Subject Authority Data (FRSAD) final report. In an earlier study, the authors explored whether the FRSAD conceptual model could be extended beyond subject authority data to model classification data. The focus of the current study is to determine if classification data modeled using FRSAD can be used to solve real-world discovery problems in multicultural and multilingual contexts. The paper discusses the relationships between entities (same type or different types) in the context of classification systems that involve multiple translations and /or multicultural implementations. Results of two case studies are presented in detail: (a) two instances of the DDC (DDC 22 in English, and the Swedish-English mixed translation of DDC 22), and (b) Chinese Library Classification. The use cases of conceptual models in practice are also discussed.
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- e
-
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.
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- e
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Mitchell, J.S.; Zeng, M.L.; Zumer, M.: Modeling classification systems in multicultural and multilingual contexts (2014)
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- Abstract
- This article reports on the second part of an initiative of the authors on researching classification systems with the conceptual model defined by the Functional Requirements for Subject Authority Data (FRSAD) final report. In an earlier study, the authors explored whether the FRSAD conceptual model could be extended beyond subject authority data to model classification data. The focus of the current study is to determine if classification data modeled using FRSAD can be used to solve real-world discovery problems in multicultural and multilingual contexts. The article discusses the relationships between entities (same type or different types) in the context of classification systems that involve multiple translations and/or multicultural implementations. Results of two case studies are presented in detail: (a) two instances of the Dewey Decimal Classification [DDC] (DDC 22 in English, and the Swedish-English mixed translation of DDC 22), and (b) Chinese Library Classification. The use cases of conceptual models in practice are also discussed.
- Language
- e
-
Boteram, F.; Hubrich, J.: Specifying intersystem relations : requirements, strategies, and issues (2010)
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- Date
- 22. 7.2010 17:11:51
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Golub, K.; Tudhope, D.; Zeng, M.L.; Zumer, M.: Terminology registries for knowledge organization systems : functionality, use, and attributes (2014)
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Ahn, J.-w.; Soergel, D.; Lin, X.; Zhang, M.: Mapping between ARTstor terms and the Getty Art and Architecture Thesaurus (2014)
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- Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik
-
Dunsire, G.; Nicholson, D.: Signposting the crossroads : terminology Web services and classification-based interoperability (2010)
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Concepts in Context : Proceedings of the Cologne Conference on Interoperability and Semantics in Knowledge Organization July 19th - 20th, 2010 (2011)
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- 22. 2.2013 11:34:18
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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)
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- 20. 6.2012 19:08:22
- GHBS
- TWY (E)
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Gracy, K.F.; Zeng, M.L.; Skirvin, L.: Exploring methods to improve access to Music resources by aligning library Data with Linked Data : a report of methodologies and preliminary findings (2013)
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- 28.10.2013 17:22:17
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Nilbe, S.: Semiautomatic merging of two universal thesauri : the case of Estonia (2011)
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Kempf, A.O.; Baum, K.: Von der Ein-Datenbank-Suche zum verteilten Suchszenario : Zum Aufbau von Crosskonkordanzen zwischen der Fachklassifikation Sozialwissenschaften und der Dewey-Dezimalklassifikation (2013)
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Mengel, T.; Svensson, L.: Dewey basics for mapping - Bringing Dewey mappings onto the Semantic Web (2015)
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Ledl, A.: ¬The BAsel Register of Thesauri, Ontologies & Classifications (BARTOC) (2015)
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Prongué, N.; Schneider, R.: Modelling library linked data in practice (2015)
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ISO 25964-2: Thesauri and interoperability with other vocabularies : Part 2: Interoperability with other vocabularies (2013)
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Kless, D.; Lindenthal, J.; Milton, S.; Kazmierczak, E.: Interoperability of knowledge organization systems with and through ontologies (2011)
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Victorino, M.; Terto de Holanda, M.; Ishikawa, E.; Costa Oliveira, E.; Chhetri, S.: Transforming open data to linked open data using ontologies for information organization in big data environments of the Brazilian Government : the Brazilian database Government Open Linked Data - DBgoldbr (2018)
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Soergel, D.: Towards a relation ontology for the Semantic Web (2011)
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