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| Content Provider | IEEE Xplore Digital Library | 
|---|---|
| Author | Jiefeng Cheng Yu, J.X. Bolin Ding Yu, P.S. Haixun Wang | 
| Copyright Year | 2008 | 
| Description | Author affiliation: Chinese Univ. of Hong Kong, Hong Kong (Jiefeng Cheng; Yu, J.X.; Bolin Ding) | 
| Abstract | Due to rapid growth of the Internet technology and new scientific/technological advances, the number of applications that model data as graphs increases, because graphs have high expressive power to model complicated structures. The dominance of graphs in real-world applications asks for new graph data management so that users can access graph data effectively and efficiently. In this paper, we study a graph pattern matching problem over a large data graph. The problem is to find all patterns in a large data graph that match a user-given graph pattern. We propose a new two-step R-join (reachability join) algorithm with filter step and fetch step based on a cluster- based join-index with graph codes. We consider the filter step as an R-semijoin, and propose a new optimization approach by interleaving R-joins with R-semijoins. We conducted extensive performance studies, and confirm the efficiency of our proposed new approaches. | 
| Starting Page | 913 | 
| Ending Page | 922 | 
| File Size | 1383984 | 
| Page Count | 10 | 
| File Format | |
| ISBN | 9781424418367 | 
| DOI | 10.1109/ICDE.2008.4497500 | 
| Language | English | 
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) | 
| Publisher Date | 2008-04-07 | 
| Publisher Place | Mexico | 
| Access Restriction | Subscribed | 
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) | 
| Subject Keyword | Pattern matching Filters Tree graphs Clustering algorithms XML Internet Interleaved codes Data analysis Resource description framework World Wide Web | 
| Content Type | Text | 
| Resource Type | Article | 
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