WordNet: a lexical database for English
Communications of the ACM
Personalizing Web Publishing via Information Extraction
IEEE Intelligent Systems
Corpus-Driven Unsupervised Learning of Verb Subcategorization Frames
AI*IA '97 Proceedings of the 5th Congress of the Italian Association for Artificial Intelligence on Advances in Artificial Intelligence
Integrating Ontological and Linguistic Knowledge for Conceptual Information Extraction
WI '03 Proceedings of the 2003 IEEE/WIC International Conference on Web Intelligence
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A tight integration between ontological and linguistic knowledge is critical within the information processes of the Semantic Web. In Information Extraction, ontologies should include knowledge components neglected in domain conceptualizations generally used for other tasks. In this paper, we analyze such critical information in the light of existing applications. Accordingly, a methodology for semi-automatic development of an IE ontology integrating pre-existing domain and lexical knowledge is presented. The proposed ontological framework supports the discovery of new relations among known concepts by means of text processing, but also induction of new conceptual information.