PoolParty: SKOS thesaurus management utilizing linked data
|PoolParty: SKOS thesaurus management utilizing linked data|
|Author(s)||Schandl T., Blumauer A.|
|Published in||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Keyword(s)||Linking Open Data, RDF, Semantic Web, SKOS, Thesaurus, Wiki (Extra: Data source, Domain experts, External systems, Linking Open Data, Management tool, New concept, RDF, Semantics, Thesauri, World Wide Web, Semantic Web)|
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|Browse properties · List of conference papers|
PoolParty: SKOS thesaurus management utilizing linked data is a 2010 conference paper written in English by Schandl T., Blumauer A. and published in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics).
Building and maintaining thesauri are complex and laborious tasks. PoolParty is a Thesaurus Management Tool (TMT) for the Semantic Web, which aims to support the creation and maintenance of thesauri by utilizing Linked Open Data (LOD), text-analysis and easy-to-use GUIs, so thesauri can be managed and utilized by domain experts without needing knowledge about the semantic web. Some aspects of thesaurus management, like the editing of labels, can be done via a wiki-style interface, allowing for lowest possible access barriers to contribution. PoolParty can analyse documents in order to glean new concepts for a thesaurus. Additionally a thesaurus can be enriched by retrieving relevant information from Linked Data sources and thesauri can be imported and updated via LOD URIs from external systems and also can be published as new linked data sources on the semantic web.
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