Association thesaurus construction methods based on link co-occurrence analysis for wikipedia
Proceedings of the 17th ACM conference on Information and knowledge management
Real time extraction of related terms by bi-directional lexico-syntactic patterns from the web
Proceedings of the 3rd International Conference on Ubiquitous Information Management and Communication
Identifying document topics using the Wikipedia category network
Web Intelligence and Agent Systems
International Journal of Human-Computer Studies
Wikipedia mining for an association web thesaurus construction
WISE'07 Proceedings of the 8th international conference on Web information systems engineering
An approach for extracting bilingual terminology from Wikipedia
DASFAA'08 Proceedings of the 13th international conference on Database systems for advanced applications
A bilingual dictionary extracted from the Wikipedia link structure
DASFAA'08 Proceedings of the 13th international conference on Database systems for advanced applications
A search engine for browsing the Wikipedia thesaurus
DASFAA'08 Proceedings of the 13th international conference on Database systems for advanced applications
Large-scale cross-media retrieval of WikipediaMM images with textual and visual query expansion
CLEF'08 Proceedings of the 9th Cross-language evaluation forum conference on Evaluating systems for multilingual and multimodal information access
Wikipedia Sets: Context-Oriented Related Entity Acquisition from Multiple Words
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
Acquiring thesauri from wikis by exploiting domain models and lexical substitution
ESWC'10 Proceedings of the 7th international conference on The Semantic Web: research and Applications - Volume Part II
Survey on ontology learning from Web and open issues
ISIICT'09 Proceedings of the Third international conference on Innovation and Information and Communication Technology
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Web-based dictionaries, such asWikipedia, have become dramatically popular among the internet users in past several years. The important characteristic of Web-based dictionary is not only the huge amount of articles, but also hyperlinks. Hyperlinks have various information more than just providing transfer function between pages. In this paper, we propose an efficient method to analyze the link structure of Web-based dictionaries to construct an association thesaurus. We have already applied it to Wikipedia, a huge scale Web-based dictionary which has a dense link structure, as a corpus. We developed a search engine for evaluation, then conducted a number of experiments to compare our method with other traditional methods such as cooccurrence analysis.