-
Hitzler, P.; Krötzsch, M.; Rudolph, S.; Sure, Y.: Semantic Web : Grundlagen (2008)
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- Classification
- TVB (W)
TVP (W)
TYD (W)
- GHBS
- TVB (W)
TVP (W)
TYD (W)
-
Ioannou, E.; Nejdl, W.; Niederée, C.; Velegrakis, Y.: Embracing uncertainty in entity linking (2012)
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-
Ding, Y.: ¬A review of ontologies with the Semantic Web in view (2001)
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-
Zeng, M.L.; Fan, W.; Lin, X.: SKOS for an integrated vocabulary structure (2008)
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- Abstract
- In order to transfer the Chinese Classified Thesaurus (CCT) into a machine-processable format and provide CCT-based Web services, a pilot study has been conducted in which a variety of selected CCT classes and mapped thesaurus entries are encoded with SKOS. OWL and RDFS are also used to encode the same contents for the purposes of feasibility and cost-benefit comparison. CCT is a collected effort led by the National Library of China. It is an integration of the national standards Chinese Library Classification (CLC) 4th edition and Chinese Thesaurus (CT). As a manually created mapping product, CCT provides for each of the classes the corresponding thesaurus terms, and vice versa. The coverage of CCT includes four major clusters: philosophy, social sciences and humanities, natural sciences and technologies, and general works. There are 22 main-classes, 52,992 sub-classes and divisions, 110,837 preferred thesaurus terms, 35,690 entry terms (non-preferred terms), and 59,738 pre-coordinated headings (Chinese Classified Thesaurus, 2005) Major challenges of encoding this large vocabulary comes from its integrated structure. CCT is a result of the combination of two structures (illustrated in Figure 1): a thesaurus that uses ISO-2788 standardized structure and a classification scheme that is basically enumerative, but provides some flexibility for several kinds of synthetic mechanisms Other challenges include the complex relationships caused by differences of granularities of two original schemes and their presentation with various levels of SKOS elements; as well as the diverse coordination of entries due to the use of auxiliary tables and pre-coordinated headings derived from combining classes, subdivisions, and thesaurus terms, which do not correspond to existing unique identifiers. The poster reports the progress, shares the sample SKOS entries, and summarizes problems identified during the SKOS encoding process. Although OWL Lite and OWL Full provide richer expressiveness, the cost-benefit issues and the final purposes of encoding CCT raise questions of using such approaches.
- Source
- Metadata for semantic and social applications : proceedings of the International Conference on Dublin Core and Metadata Applications, Berlin, 22 - 26 September 2008, DC 2008: Berlin, Germany / ed. by Jane Greenberg and Wolfgang Klas
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Stojanovic, N.: Ontology-based Information Retrieval : methods and tools for cooperative query answering (2005)
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- Content
- Vgl.: http%3A%2F%2Fdigbib.ubka.uni-karlsruhe.de%2Fvolltexte%2Fdocuments%2F1627&ei=tAtYUYrBNoHKtQb3l4GYBw&usg=AFQjCNHeaxKkKU3-u54LWxMNYGXaaDLCGw&sig2=8WykXWQoDKjDSdGtAakH2Q&bvm=bv.44442042,d.Yms.
-
Wang, H.; Liu, Q.; Penin, T.; Fu, L.; Zhang, L.; Tran, T.; Yu, Y.; Pan, Y.: Semplore: a scalable IR approach to search the Web of Data (2009)
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-
Ulrich, W.: Simple Knowledge Organisation System (2007)
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-
Dextre Clarke, S.G.: Challenges and opportunities for KOS standards (2007)
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- Date
- 22. 9.2007 15:41:14
-
Zhang, L.; Liu, Q.L.; Zhang, J.; Wang, H.F.; Pan, Y.; Yu, Y.: Semplore: an IR approach to scalable hybrid query of Semantic Web data (2007)
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Broughton, V.: Automatic metadata generation : Digital resource description without human intervention (2007)
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- Date
- 22. 9.2007 15:41:14
-
Tudhope, D.: Knowledge Organization System Services : brief review of NKOS activities and possibility of KOS registries (2007)
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- Date
- 22. 9.2007 15:41:14
-
Gradmann, S.: Semantic Web und Linked Open Data (2013)
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- Source
- Grundlagen der praktischen Information und Dokumentation. Handbuch zur Einführung in die Informationswissenschaft und -praxis. 6., völlig neu gefaßte Ausgabe. Hrsg. von R. Kuhlen, W. Semar u. D. Strauch. Begründet von Klaus Laisiepen, Ernst Lutterbeck, Karl-Heinrich Meyer-Uhlenried
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Danowski, P.; Goldfarb, D.; Schaffner, V.; Seidler, W.: Linked (Open) Data - Bibliographische Daten im Semantic Web : Bericht der AG Linked Data an die Verbundvollversammlung (16. Mai 2013) (2013)
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-
Studer, R.; Studer, H.-P.; Studer, A.: Semantisches Knowledge Retrieval (2001)
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- Source
- http://www.b-y-a.de/wordpress/wp-content/uploads/2006/08/ontoprise_whitepaper_knowledge_retrieval.pdf
-
Ding, L.; Finin, T.; Joshi, A.; Peng, Y.; Cost, R.S.; Sachs, J.; Pan, R.; Reddivari, P.; Doshi, V.: Swoogle : a Semantic Web search and metadata engine (2004)
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-
Zapilko, B.; Sure, Y.: Neue Möglichkeiten für die Wissensorganisation durch die Kombination von Digital Library Verfahren mit Standards des Semantic Web (2013)
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-
Papadakis, I. et al.: Highlighting timely information in libraries through social and semantic Web technologies (2016)
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May, W.: Reasoning im und für das Semantic Web (2006)
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Luo, Y.; Picalausa, F.; Fletcher, G.H.L.; Hidders, J.; Vansummeren, S.: Storing and indexing massive RDF datasets (2012)
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Bergamaschi, S.; Domnori, E.; Guerra, F.; Rota, S.; Lado, R.T.; Velegrakis, Y.: Understanding the semantics of keyword queries on relational data without accessing the instance (2012)
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