Decoding Wikipedia categories for knowledge acquisition
|Decoding Wikipedia categories for knowledge acquisition|
|Author(s)||Nastase V., Strube M.|
|Published in||Proceedings of the National Conference on Artificial Intelligence|
|Keyword(s)||Unknown (Extra: Artificial intelligence, Bionics, Decoding, Information theory, Class attributes, Semantic relations, Wikipedia, Knowledge acquisition)|
|Article||BASE, CiteSeerX, Google Scholar|
|Web||Ask, Bing, Google (PDF), Yahoo!|
|Download and mirrors|
|Local copy||Not available|
|Remote mirror(s)||Not available|
|Export and share|
|BibTeX, CSV, RDF, JSON|
|Browse properties · List of conference papers|
Decoding Wikipedia categories for knowledge acquisition is a 2008 conference paper written in English by Nastase V., Strube M. and published in Proceedings of the National Conference on Artificial Intelligence.
This paper presents an approach to acquire knowledge from Wikipedia categories and the category network. Many Wikipedia categories have complex names which reflect human classification and organizing instances, and thus encode knowledge about class attributes, taxonomic and other semantic relations. We decode the names and refer back to the network to induce relations between concepts in Wikipedia represented through pages or categories. The category structure allows us to propagate a relation detected between constituents of a category name to numerous concept links. The results of the process are evaluated against ResearchCyc and a subset also by human judges. The results support the idea that Wikipedia category names are a rich source of useful and accurate knowledge. Copyright © 2008, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.
- This section requires expansion. Please, help!
Probably, this publication is cited by others, but there are no articles available for them in WikiPapers. Cited 19 time(s)