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Semantic path ranking scheme for relational keyword queries


Zeng, Z and Bao, Z and Dobbie, G and Lee, ML and Ling, TW, Semantic path ranking scheme for relational keyword queries, Database and Expert Systems Applications, 1-4 September 2014, Munich, Germany, pp. 97-105. ISBN 9783319100845 (2014) [Refereed Conference Paper]

Copyright Statement

Copyright 2014 Springer

DOI: doi:10.1007/978-3-319-10085-2_8


Existing works on keyword search over relational databases typically do not consider users' search intention for a query and return many answers which often overwhelm users. We observe that a database is in fact a repository of real world objects that interact with each other via relationships. In this work, we identify four types of semantic paths between objects and design an algorithm called pathRank to compute and rank the results of keyword queries. The answers are grouped by the types of semantic paths which reflect diff erent query interpretations, and are annotated to facilitate user understanding.

Item Details

Item Type:Refereed Conference Paper
Keywords:information retrieval, result ranking, keyword search
Research Division:Information and Computing Sciences
Research Group:Data management and data science
Research Field:Data management and data science not elsewhere classified
Objective Division:Information and Communication Services
Objective Group:Information systems, technologies and services
Objective Field:Information systems, technologies and services not elsewhere classified
UTAS Author:Bao, Z (Dr Zhifeng Bao)
ID Code:92367
Year Published:2014
Deposited By:Information and Communication Technology
Deposited On:2014-06-17
Last Modified:2015-04-27

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