-
Hollink, L.; Assem, M. van: Estimating the relevance of search results in the Culture-Web : a study of semantic distance measures (2010)
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- Date
- 29. 7.2011 14:44:56
26.12.2011 13:40:22
-
Leskinen, P.; Hyvönen, E.: Extracting genealogical networks of linked data from biographical texts (2019)
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- Abstract
- This paper presents the idea and our work of extracting and reassembling a genealogical network automatically from a collection of biographies. The network can be used as a tool for network analysis of historical persons. The data has been published as Linked Data and as an interactive online service as part of the in-use data service and semantic portal BiographySampo - Finnish Biographies on the Semantic Web.
-
Dextre Clarke, S.G.: Challenges and opportunities for KOS standards (2007)
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- Date
- 22. 9.2007 15:41:14
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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
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Tudhope, D.: Knowledge Organization System Services : brief review of NKOS activities and possibility of KOS registries (2007)
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- 22. 9.2007 15:41:14
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Maltese, V.; Farazi, F.: Towards the integration of knowledge organization systems with the linked data cloud (2011)
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- Abstract
- In representing the shared view of all the people involved, building a Knowledge Organization System (KOS) from scratch is extremely costly, and it is therefore fundamental to reuse existing resources. This can be done by progressively extending the KOS with knowledge coming from similar KOS and by promoting interoperability among them. The linked data initiative is indeed fostering people to share and integrate their datasets into a giant network of interconnected resources. This enables different applications to interoperate and share their data. However, the integration should take into account the purpose of the datasets and make explicit the semantics. In fact, the difference in the purpose is reflected in the difference in the semantics. With this paper we (a) highlight the potential problems that may arise by not taking into account purpose and semantics, (b) make clear how the difference in the purpose is reflected in totally different semantics and (c) provide an algorithm to translate from one semantic into another as a preliminary step towards the integration of ontologies designed for different purposes. This will allow reusing the ontologies even in contexts different from those in which they were designed.
-
Aslam, S.; Sonkar, S.K.: Semantic Web : an overview (2019)
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- Date
- 10.12.2020 9:29:12
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Eckert, K.: SKOS: eine Sprache für die Übertragung von Thesauri ins Semantic Web (2011)
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- Date
- 15. 3.2011 19:21:22
-
OWL Web Ontology Language Test Cases (2004)
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- Date
- 14. 8.2011 13:33:22
-
Best Practice Recipes for Publishing RDF Vocabularies (2008)
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- Date
- 14. 8.2011 14:29:06
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Mayfield, J.; Finin, T.: Information retrieval on the Semantic Web : integrating inference and retrieval
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- Date
- 12. 2.2011 17:35:22
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Heflin, J.; Hendler, J.: Semantic interoperability on the Web (2000)
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- Date
- 11. 5.2013 19:22:18
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Schmitz-Esser, W.; Sigel, A.: Introducing terminology-based ontologies : Papers and Materials presented by the authors at the workshop "Introducing Terminology-based Ontologies" (Poli/Schmitz-Esser/Sigel) at the 9th International Conference of the International Society for Knowledge Organization (ISKO), Vienna, Austria, July 6th, 2006 (2006)
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- Date
- 17. 7.2006 12:29:55
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Wielinga, B.; Wielemaker, J.; Schreiber, G.; Assem, M. van: Methods for porting resources to the Semantic Web (2004)
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- Date
- 29. 7.2011 14:44:56
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Firnkes, M.: Schöne neue Welt : der Content der Zukunft wird von Algorithmen bestimmt (2015)
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- Date
- 5. 7.2015 22:02:31
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Jacobs, I.: From chaos, order: W3C standard helps organize knowledge : SKOS Connects Diverse Knowledge Organization Systems to Linked Data (2009)
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- Content
- SKOS Adapts to the Diversity of Knowledge Organization Systems A useful starting point for understanding the role of SKOS is the set of subject headings published by the US Library of Congress (LOC) for categorizing books, videos, and other library resources. These headings can be used to broaden or narrow queries for discovering resources. For instance, one can narrow a query about books on "Chinese literature" to "Chinese drama," or further still to "Chinese children's plays." Library of Congress subject headings have evolved within a community of practice over a period of decades. By now publishing these subject headings in SKOS, the Library of Congress has made them available to the linked data community, which benefits from a time-tested set of concepts to re-use in their own data. This re-use adds value ("the network effect") to the collection. When people all over the Web re-use the same LOC concept for "Chinese drama," or a concept from some other vocabulary linked to it, this creates many new routes to the discovery of information, and increases the chances that relevant items will be found. As an example of mapping one vocabulary to another, a combined effort from the STITCH, TELplus and MACS Projects provides links between LOC concepts and RAMEAU, a collection of French subject headings used by the Bibliothèque Nationale de France and other institutions. SKOS can be used for subject headings but also many other approaches to organizing knowledge. Because different communities are comfortable with different organization schemes, SKOS is designed to port diverse knowledge organization systems to the Web. "Active participation from the library and information science community in the development of SKOS over the past seven years has been key to ensuring that SKOS meets a variety of needs," said Thomas Baker, co-chair of the Semantic Web Deployment Working Group, which published SKOS. "One goal in creating SKOS was to provide new uses for well-established knowledge organization systems by providing a bridge to the linked data cloud." SKOS is part of the Semantic Web technology stack. Like the Web Ontology Language (OWL), SKOS can be used to define vocabularies. But the two technologies were designed to meet different needs. SKOS is a simple language with just a few features, tuned for sharing and linking knowledge organization systems such as thesauri and classification schemes. OWL offers a general and powerful framework for knowledge representation, where additional "rigor" can afford additional benefits (for instance, business rule processing). To get started with SKOS, see the SKOS Primer.
-
Monireh, E.; Sarker, M.K.; Bianchi, F.; Hitzler, P.; Doran, D.; Xie, N.: Reasoning over RDF knowledge bases using deep learning (2018)
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- Date
- 16.11.2018 14:22:01
