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Fuzzy matching of Web queries to structured data

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3 Author(s)
Cheng, Tao ; Univ. of Illinois, Urbana, IL, USA ; Lauw, Hady W. ; Paparizos, Stelios

Recognizing the alternative ways people use to reference an entity, is important for many Web applications that query structured data. In such applications, there is often a mismatch between how content creators describe entities and how different users try to retrieve them. In this paper, we consider the problem of determining whether a candidate query approximately matches with an entity. We propose an off-line, data-driven, bottom-up approach that mines query logs for instances where Web content creators and Web users apply a variety of strings to refer to the same Web pages. This way, given a set of strings that reference entities, we generate an expanded set of equivalent strings for each entity. The proposed method is verified with experiments on real-life data sets showing that we can dramatically increase the queries that can be matched.

Published in:

Data Engineering (ICDE), 2010 IEEE 26th International Conference on

Date of Conference:

1-6 March 2010

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