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Long Beach, CA, USA
Mar. 1, 2010 to Mar. 6, 2010
ISBN: 978-1-4244-5445-7
pp: 1101-1104
Ziyang Liu , School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, USA
Yichuan Cai , School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, USA
Yi Chen , School of Computing, Informatics, and Decision Systems Engineering, Arizona State University, USA
ABSTRACT
This demo illustrates an XML search engine TargetSearch that addresses an open problem in XML keyword search: given relevant matches to keywords, how to compose query results properly so that they can be effectively ranked and easily digested by users. The approaches adopted in the literature generate either overwhelmingly large results or fragmentary results, both of which may cause the ranking schemes to be ineffective. Intuitively, each query has a search target and each result should contain exactly one instance of the search target along with its evidence. We developed TargetSearch which composes atomic and intact query results driven by users' search targets.
CITATION
Ziyang Liu, Yichuan Cai, Yi Chen, "TargetSearch: A ranking friendly XML keyword search engine", ICDE, 2010, 2013 IEEE 29th International Conference on Data Engineering (ICDE), 2013 IEEE 29th International Conference on Data Engineering (ICDE) 2010, pp. 1101-1104, doi:10.1109/ICDE.2010.5447880
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