Effective Top-k Keyword Search in Relational Databases Considering Query Semantics

Authors:
Yanwei Xu;Yoshiharu Ishikawa;Jihong Guan
Affiliations:
Graduate School of Information Science, Nagoya University, Japan and School of Electronics and Information Engineering, Tongji University, China;Graduate School of Information Science, Nagoya University, Japan;School of Electronics and Information Engineering, Tongji University, China
Venue:
Advances in Web and Network Technologies, and Information Management
Year:
2009

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Abstract

Keyword search in relational databases has recently emerged as a new research topic. As a search result is often assembled from multiple relational tables, existing IR-style ranking strategies can not be applied directly. In this paper, we propose a novel IR ranking strategy considering query semantics for effective keyword search. The experimental results on a large-scale real database demonstrate that our method results in significant improvement in terms of retrieval effectiveness as compared to previous ranking strategies.