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Automatic Annotation and Semantic Search from Protégé

Fernandez, Miriam; Vallett, David and Castells, Pablo (2005). Automatic Annotation and Semantic Search from Protégé. In: 8th International Protege Conference, 18-21 Jul 2005, Madrid, Spain.

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Semantic search has been one of the major envisioned benefits of the Semantic Web since its emergence in the late 90’s [1]. Our demo shows a proposal towards this goal. One way to view a semantic search engine is as a tool that gets formal queries (e.g. in RDQL, RQL, SPARQL, or the like) from a client, executes them against an ontology-based knowledge base, and returns tuples of ontology values (resources) that satisfy the query [2]. While this conception of semantic search brings enormous advantages already, our work aims at taking a step beyond this. In our view of Information Retrieval in the Semantic Web, a search engine returns documents, rather than (or in addition to) exact values, in response to user queries. The engine should rank the documents, according to concept-based relevance criteria. The overall retrieval process is illustrated in Figure 1 (see [3] for more details of our research).

Item Type: Conference or Workshop Item
Copyright Holders: 2005 Unknown
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Research Group: Centre for Research in Computing (CRC)
Item ID: 28600
Depositing User: Kay Dave
Date Deposited: 17 May 2011 10:02
Last Modified: 16 Jun 2020 01:48
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