Learning ontologies from natural language texts
International Journal of Human-Computer Studies
Ontologies as facilitators for repurposing web documents
International Journal of Human-Computer Studies
Relation instantiation for ontology population using the web
KI'06 Proceedings of the 29th annual German conference on Artificial intelligence
SocialBROKER: A collaborative social space for gathering semantically-enhanced financial information
Expert Systems with Applications: An International Journal
Financial news semantic search engine
Expert Systems with Applications: An International Journal
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The Semantic Web vision is based on structuring the knowledge that is present in the current Web so that it is understandable by machines without human intervention. Ontologies are the backbone technology for the Semantic Web. Thus, the realization of the Semantic Web vision largely depends on the design and instantiation of ontologies. While several methodologies for designing ontologies and automating ontology learning have been proposed, ontology population has not received much attention so far. This paper presents a methodology for populating ontologies from natural language web documents. For this, Semantic Web Technologies and Natural Language Technologies have been used. This approach has been applied in the eTourism domain.