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Enriching very large ontologies using the WWW (2000)
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| Venue: | Proceedings of the ECAI 2000 workshop “Ontology Learning” |
| Citations: | 122 - 5 self |
BibTeX
@INPROCEEDINGS{Agirre00enrichingvery,
author = {Eneko Agirre and Olatz Ansa and Eduard Hovy and David Martínez},
title = {Enriching very large ontologies using the WWW},
booktitle = { Proceedings of the ECAI 2000 workshop “Ontology Learning” },
year = {2000},
publisher = {}
}
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Abstract
. This paper explores the possibility to exploit text on the world wide web in order to enrich the concepts in existing ontologies. First, a method to retrieve documents from the WWW related to a concept is described. These document collections are used 1) to construct topic signatures (lists of topically related words) for each concept in WordNet, and 2) to build hierarchical clusters of the concepts (the word senses) that lexicalize a given word. The overall goal is to overcome two shortcomings of WordNet: the lack of topical links among concepts, and the proliferation of senses. Topic signatures are validated on a word sense disambiguation task with good results, which are improved when the hierarchical clusters are used. 1 INTRODUCTION Knowledge acquisition is a long-standing problem in both Artificial Intelligence and Computational Linguistics. Semantic and world knowledge acquisition pose a problem with no simple answer. Huge efforts and investments have been made to...
Keyphrases
large ontology topic signature hierarchical cluster world knowledge acquisition good result overall goal word sense disambiguation task artificial intelligence world wide web document collection long-standing problem simple answer topical link introduction knowledge acquisition related word computational linguistics
