Exploring wikipedia's category graph for query classification
AIS'11 Proceedings of the Second international conference on Autonomous and intelligent systems
Harvesting Wikipedia Knowledge to Identify Topics in Ongoing Natural Language Dialogs
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
A web 2.0 approach for organizing search results using wikipedia
AIRS'11 Proceedings of the 7th Asia conference on Information Retrieval Technology
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This paper intends to present a straightforward, extensive, and noise resistant method for efficiently tagging a web query, submitted to a search engine, with proper category labels. These labels are intended to represent the closest categories related to the query which can ultimately be used to enhance the results of any typical search engine by either restricting the results to matching categories or enriching the query itself. The presented method effectively rules out noise words within a query, forms the optimal keyword packs using a density function, and returns a set of category labels which represent the common topics of the given query using Wikipedia category hierarchy.