DocumentCode
2457049
Title
Cross Domain Search by Exploiting Wikipedia
Author
Liu, Chen ; Wu, Sai ; Jiang, Shouxu ; Tung, Anthony K H
Author_Institution
Sch. of Comput., Nat. Univ. of Singapore, Singapore, Singapore
fYear
2012
fDate
1-5 April 2012
Firstpage
546
Lastpage
557
Abstract
The abundance of Web 2.0 resources in various media formats calls for better resource integration to enrich user experience. This naturally leads to a new cross-modal resource search requirement, in which a query is a resource in one modal and the results are closely related resources in other modalities. With cross-modal search, we can better exploit existing resources. Tags associated with Web 2.0 resources are intuitive medium to link resources with different modality together. However, tagging is by nature an ad hoc activity. They often contain noises and are affected by the subjective inclination of the tagger. Consequently, linking resources simply by tags will not be reliable. In this paper, we propose an approach for linking tagged resources to concepts extracted from Wikipedia, which has become a fairly reliable reference over the last few years. Compared to the tags, the concepts are therefore of higher quality. We develop effective methods for cross-modal search based on the concepts associated with resources. Extensive experiments were conducted, and the results show that our solution achieves good performance.
Keywords
Internet; query processing; social networking (online); Web 2.0 resource; Wikipedia; ad hoc activity; concept extraction; cross domain search; linking tagged resource; media format; query processing; resource integration; resource search requirement; user experience; Electronic publishing; Encyclopedias; Internet; Semantics; Silicon; Vectors;
fLanguage
English
Publisher
ieee
Conference_Titel
Data Engineering (ICDE), 2012 IEEE 28th International Conference on
Conference_Location
Washington, DC
ISSN
1063-6382
Print_ISBN
978-1-4673-0042-1
Type
conf
DOI
10.1109/ICDE.2012.13
Filename
6228113
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