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Amarger, F.; Chanet, J.-P.; Haemmerlé, O.; Hernandez, N.; Roussey, C.: SKOS sources transformations for ontology engineering : agronomical taxonomy use case (2014)
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Boteram, F.; Hubrich, J.: Specifying intersystem relations : requirements, strategies, and issues (2010)
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- Date
- 22. 7.2010 17:11:51
-
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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- Source
- 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
-
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
- Editor
- Hubrich, J.
-
Prongué, N.; Schneider, R.: Modelling library linked data in practice (2015)
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-
Euzenat, J.; Shvaiko, P.: Ontology matching (2010)
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- Date
- 20. 6.2012 19:08:22
-
ISO 25964-2: Thesauri and interoperability with other vocabularies : Part 2: Interoperability with other vocabularies (2013)
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- Type
- n
-
Celli, F. et al.: Enabling multilingual search through controlled vocabularies : the AGRIS approach (2016)
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- Source
- Metadata and semantics research: 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings. Eds.: E. Garoufallou
-
Hubrich, J.: Intersystem relations : Characteristics and functionalities (2011)
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- Source
- Concepts in context: Proceedings of the Cologne Conference on Interoperability and Semantics in Knowledge Organization July 19th - 20th, 2010. Eds.: F. Boteram, W. Gödert u. J. Hubrich
-
Soergel, D.: Towards a relation ontology for the Semantic Web (2011)
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- Abstract
- The Semantic Web consists of data structured for use by computer programs, such as data sets made available under the Linked Open Data initiative. Much of this data is structured following the entity-relationship model encoded in RDF for syntactic interoperability. For semantic interoperability, the semantics of the relationships used in any given dataset needs to be made explicit. Ultimately this requires an inventory of these relationships structured around a relation ontology. This talk will outline a blueprint for such an inventory, including a format for the description/definition of binary and n-ary relations, drawing on ideas put forth in the classification and thesaurus community over the last 60 years, upper level ontologies, systems like FrameNet, the Buffalo Relation Ontology, and an analysis of linked data sets.
-
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.
-
Jacobs, J.-H.; Mengel, T.; Müller, K.: Insights and Outlooks : a retrospective view on the CrissCross project (2011)
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- Source
- Concepts in context: Proceedings of the Cologne Conference on Interoperability and Semantics in Knowledge Organization July 19th - 20th, 2010. Eds.: F. Boteram, W. Gödert u. J. Hubrich
-
Kollia, I.; Tzouvaras, V.; Drosopoulos, N.; Stamou, G.: ¬A systemic approach for effective semantic access to cultural content (2012)
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-
Gulbrandsen, A.D.; Heggø, D.M.O.; Knutsen, U.; Seland, G.: Towards a general Norwegian thesaurus? : Subproject Methodology for mapping Humord to WebDewey (2015)
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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.
-
Metadata and semantics research : 10th International Conference, MTSR 2016, Göttingen, Germany, November 22-25, 2016, Proceedings (2016)
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Jia, J.; Zhao, J.: Mapping analysis of pre-coordinated classes in DDC and CLC (2015)
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-
Boteram, F.; Gödert, W.; Hubrich, J.: Semantic interoperability and retrieval paradigms (2010)
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Balakrishnan, U.; Voß, J.; Soergel, D.: Towards integrated systems for KOS management, mapping, and access : Coli-conc and its collaborative computer-assisted KOS mapping tool Cocoda (2018)
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Takhirov, N.; Aalberg, T.; Duchateau, F.; Zumer, M.: FRBR-ML: a FRBR-based framework for semantic interoperability (2012)
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