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  1. Proceedings of the twelfth international workshop on Web information and data management (WIDM '12)
  2. A distributed index for efficient parallel top-k keyword search on massive graphs
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A distributed index for efficient parallel top-k keyword search on massive graphs

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A distributed index for efficient parallel top-k keyword search on massive graphs

Content Provider ACM Digital Library
Author Liu, Mengchi Zhong, Ming
Abstract Recently, a variety of indexing techniques have been proposed for optimizing keyword search on graph. However, graph indexing has very high space and time complexities, and thus these single-machine in-memory indices are usually not affordable for massive graphs. In this paper, we propose a novel distributed disk-based index, which organizes the local topology information in the graph to track and prune matched vertices that will not participate in the top-k answers to a specified query before search with heuristics. The distributed index can be constructed in a MapReduce manner. Moreover, a parallel search algorithm is also developed. It runs multiple asynchronous search instances that incrementally enumerate the current best local answers and then produces the global top-k answers from them. Lastly, we perform experiments on both synthetic and real graphs with various configurations. The results show that our approach can improve search efficiency on massive graphs significantly with affordable indexing overheads.
Starting Page 27
Ending Page 32
Page Count 6
File Format PDF
ISBN 9781450317207
DOI 10.1145/2389936.2389943
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2012-11-02
Publisher Place New York
Access Restriction Subscribed
Subject Keyword Distributed index Parallel algorithm Graph Keyword search
Content Type Text
Resource Type Article
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