Indexing a Web Site to Highlight Its Content

Authors:
Emmanuel Desmontils;Christine Jacquin
Affiliations:
-;-
Venue:
WI '01 Proceedings of the First Asia-Pacific Conference on Web Intelligence: Research and Development
Year:
2001

Citing 2
Cited 0

Transformation-based error-driven learning and natural language processing: a case study in part-of-speech tagging

Computational Linguistics
Verbs semantics and lexical selection

ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics

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Abstract

This article presents a new approach in order to index a Web site. It uses ontologies and natural language techniques for information retrieval on the Internet. The main goal is to build a structured index of the Web site. This structure is given by a terminology oriented ontology of a domain which is chosen a priori according to the content of the Web site. The indexing process uses improved natural language technics.