Web based Knowledge Extraction and Consolidation for Automatic Ontology Population
(2003) Web based Knowledge Extraction and Consolidation for Automatic Ontology Population. In Proceedings Knowledge Markup and Semantic Annotation Workshop, 2nd Int Conf on Knowledge Capture (K-CAP'03), Sanibel Island, Florida, USA.
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The Web is probably the largest and richest information repository available today. Search engines are the common access routes to this valuable source. However, the role of these search engines is often limited to the retrieval of lists of potentially relevant documents. The burden of analysing the returned documents and identifying the knowledge of interest is therefore left to the user. The Artequakt system aims to deploy natural language tools to automatically ex-tract and consolidate knowledge from web documents and populate a given ontology, which dictates the type and form of knowledge to extract. Artequakt focuses on the domain of artists, and uses the harvested knowledge to generate tailored biographies. This paper describes the latest devel-opments of the system and discusses the problem of knowl-edge consolidation.
| Keywords: | Information Extraction, Ontology Population, and Knowl-edge Consolidation. |
|---|---|
| Subjects: | AKT Challenges > Knowledge acquisition AKT Challenges > Knowledge publishing |
| ID Code: | 270 |
| Deposited By: | Alani, Harith |
| Deposited On: | 24 September 2003 |
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