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Erschienen in:
2009 | OriginalPaper | Buchkapitel
Capturing the Meaning of Internet Search Queries by Taxonomy Mapping
verfasst von : Domonkos Tikk, Zsolt T. Kardkovács, Zoltán Bánsághi
Erschienen in: Intelligent Engineering Systems and Computational Cybernetics
Verlag: Springer Netherlands
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Capturing the meaning of internet search queries can significantly improve the effectiveness of search retrieval. Users often have problem to find relevant answer to their queries, particularly, when the posted query is ambiguous. The orientation of the user can be greatly facilitated, if answers are grouped into topics of a fixed subject taxonomy. In this manner, the original problem can be transformed to the labelling of queries — and consequently, the answers — with the topic names. Thus the original problem is transformed into a classification set-up. This paper introduces our Ferrety algorithm that performs topic assignment, which also works when there is no directly available training data that describes the semantics of the subject taxonomy. The approach is presented via the example of ACM KDD Cup 2005 problem, where Ferrety was awarded for precision and creativity.