Please use this identifier to cite or link to this item: http://swig.hpclab.ceid.upatras.gr/dspace-ss-demo/handle/123456789/57
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dc.contributor.authorKoutsomitropoulos, Dimitrios-
dc.contributor.authorBorillo, Ricardo-
dc.contributor.authorSolomou, Georgia-
dc.contributor.authorPapatheodorou, Theodore-
dc.date.accessioned2011-05-02T15:35:44Z-
dc.date.available2011-05-02T15:35:44Z-
dc.date.issued2011-05-02-
dc.identifier.urihttp://swig.hpclab.ceid.upatras.gr/dspace-ss-demo/handle/123456789/57-
dc.descriptionOfficial page at google code: http://code.google.com/p/dspace-semantic-search/en_US
dc.description.abstractInformation and knowledge retrieval are today some of the main assets of the Semantic Web. However, a notable immaturity still exists, as to what tools, methods and standards may be used to effectively achieve these goals. No matter what approach is actually followed, querying Semantic Web information often requires deep knowledge of the ontological syntax, the querying protocol and the knowledge base structure as well as a careful elaboration of the query itself, in order to extract the desired results. In this paper, we propose a structured semantic query interface that helps to construct and submit entailment-based queries in an intuitive way. It is designed so as to capture the meaning of the intended user query, regardless of the formalism actually being used, and to transparently formulate one in reasoner-compatible format. This interface has been deployed on top of the semantic search prototype of the DSpace digital repository system.en_US
dc.language.isoenen_US
dc.subjectSemantic Searchen_US
dc.subjectDSpaceen_US
dc.subjectKnowledge Retrievalen_US
dc.titleKnowledge is just a click away: Semantic Query Answering in DSpaceen_US
dc.typeArticleen_US
dc.typeSoftwareen_US
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