Mining domain-specific thesauri from wikipedia: A case study (2006)
| Venue: | IN: PROC. OF ACM INTERNATIONAL CONFERENCE ON WEB INTELLIGENCE |
| Citations: | 23 - 6 self |
BibTeX
@INPROCEEDINGS{Milne06miningdomain-specific,
author = {David Milne and Olena Medelyan and Ian H. Witten},
title = { Mining domain-specific thesauri from wikipedia: A case study},
booktitle = {IN: PROC. OF ACM INTERNATIONAL CONFERENCE ON WEB INTELLIGENCE},
year = {2006},
pages = {442--448},
publisher = {}
}
Bookmark
 |
 |
 |
 |
 |
 |
OpenURL
Abstract
Domain-specific thesauri are high-cost, highmaintenance, high-value knowledge structures. We show how the classic thesaurus structure of terms and links can be mined automatically from Wikipedia, a vast, open encyclopedia. In a comparison with a professional thesaurus for agriculture (Agrovoc) we find that Wikipedia contains a substantial proportion of its domain-specific concepts and semantic relations; furthermore it has impressive coverage of a collection of contemporary documents in the domain. Thesauri derived using these techniques are attractive because they capitalize on existing public efforts and tend to reflect contemporary language usage better than their costly, painstakingly-constructed manual counterparts.
