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Simple algorithms for predicate suggestions using similarity and co-occurrence

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dc.contributor.author Oren, Eyal en
dc.contributor.author Gerke, Sebastian en
dc.contributor.author Decker, Stefan en
dc.date.accessioned 2009-12-15T16:04:27Z en
dc.date.available 2009-12-15T16:04:27Z en
dc.date.issued 2007 en
dc.identifier.citation Eyal Oren, Sebastian Gerke, Stefan Decker "Simple algorithms for predicate suggestions using similarity and co-occurrence", Proceedings of the European Semantic Web Conference, 2007. en
dc.identifier.uri http://hdl.handle.net/10379/540 en
dc.description.abstract When creating Semantic Web data, users have to make a critical choice for a vocabulary: only through shared vocabularies can meaning be established. A centralised policy prevents terminology divergence but would restrict users needlessly. As seen in collaborative tagging environments, suggestion mechanisms help terminology convergence without forcing users. We introduce two domain-independent algorithms for recommending predicates (RDF statements) about resources, based on statistical dataset analysis. The first algorithm is based on similarity between resources, the second one is based on co-occurrence of predicates. Experimental evaluation shows very promising results: a high precision with relatively high recall in linear runtime performance. en
dc.format application/pdf en
dc.language.iso en en
dc.publisher Association for Computing Machinery en
dc.subject.lcsh Algorithms en
dc.subject.lcsh Semantic web en
dc.title Simple algorithms for predicate suggestions using similarity and co-occurrence en
dc.type Conference paper en
dc.local.publishedsource http://doi.acm.org/10.1007/978-3-540-72667-8_13 en
dc.local.publisherstatement author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in Proceedings of the 4th European conference on The Semantic Web: Research and Applications http://doi.acm.org/10.1007/978-3-540-72667-8_13 en
dc.description.peer-reviewed peer-reviewed en
dc.contributor.funder m3pe en
dc.contributor.funder Science Foundation Ireland en

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