NDLI: Binary Search Join between an IR System and an RDBMS

Content Provider	IEEE Xplore Digital Library
Author	Wang, E.D. Qiong Luo Dongqing Yang Shiwei Tang
Copyright Year	2006
Description	Author affiliation: Dept. of Comput. Sci., Peking Univ., Beijing (Wang, E.D.)
Abstract	Integrating relational database technologies into Web information retrieval enables users to ask complex queries beyond traditional keyword searches over Web pages. One approach to this integration is to have a software layer on top of an information retrieval (IR) system and an RDBMS (relational database management system). A core operation in this top layer is to join the intermediate results from the two underlying systems (called the IR results and the DB results correspondingly) in order to produce the final ranked results for each query. Unfortunately, most conventional join algorithms are inefficient for this operation. In this paper, we propose one simple join algorithm called binary search join (BSJ) for the operation of joining the IR results and the DB results. This algorithm takes advantage of the fact that the IR results are already ranked by relevance and that the DB results are already sorted by the join attribute. It scans the IR results and for each IR result tuple performs a binary search over the DB results. We analytically and empirically study the performance of BSJ in comparison with several conventional join algorithms on a repository of Chinese news Web pages. The experiment results prove that BSJ works best in most cases
Sponsorship	IEEE Comput. Soc. WIC ACM
Starting Page	782
Ending Page	785
File Size	229806
Page Count	4
File Format	PDF
ISBN	0769527477
DOI	10.1109/WI.2006.51
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2006-12-18
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Computer science Keyword search Web pages Relational databases Information retrieval Performance analysis Portals Sorting Information analysis
Content Type	Text
Resource Type	Article

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