Abstract
Due to the wide applications, subgraph queries have attracted lots of attentions in database community. In this paper, we focus on subgraph queries over a large graph G. Different from existing feature-based approaches, we propose a bitmap structure based on edges to index the graph. At run time, we decompose Q into a set of adjacent edge pairs (AEP). We develop edge join (EJ) algorithms to address AEP subqueries. The bitmap index can reduce both I/O and CPU cost. More importantly, the bitmap index has the linear space complexity instead of the exponential complexity in feature-based approaches, which confirms its good scalability. Extensive experiments show that our method outperforms existing ones in both online and offline performances significantly.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Chan, E.P.F., Lim, H.: Optimization and evaluation of shortest path queries. VLDB J. 16(3) (2007)
Chen, Y., Chen, Y.: An efficient algorithm for answering graph reachability queries. In: ICDE (2008)
Cheng, J., Yu, J.X.: On-line exact shortest distance query processing. In: EDBT (2009)
Cohen, E., Halperin, E., Kaplan, H., Zwick, U.: Reachability and distance queries via 2-hop labels. SIAM J. Comput. 32(5) (2003)
Cordella, L.P., Foggia, P., Sansone, C., Vento, M.: A (sub)graph isomorphism algorithm for matching large graphs. IEEE Trans. Pattern Anal. Mach. Intell. 26(10), 1367–1372 (2004)
Jiang, P.Y.H., Wang, H., Zhou, S.: Gstring: A novel approach for efficient search in graph databases. In: ICDE (2007)
Jing, N., Huang, Y.-W., Rundensteiner, E.A.: Hierarchical encoded path views for path query processing: An optimal model and its performance evaluation. IEEE Trans. Knowl. Data Eng. 10(3) (1998)
Peng, P., Zou, L., Zhao, D., Chen, L., Lin, X.: Technical report, http://www.icst.pku.edu.cn/intro/leizou/subgraphsearch.pdf
Shasha, D., Wang, J.T.-L., Giugno, R.: Algorithmics and applications of tree and graph searching. In: PODS (2002)
Tian, Y., McEachin, R.C., Santos, C., States, D.J., Patel, J.M.: Saga: a subgraph matching tool for biological graphs. Bioinformatics 23(2) (2007)
Tian, Y., Patel, J.M.: Tale: A tool for approximate large graph matching. In: ICDE, pp. 963–972 (2008)
Trißl, S., Leser, U.: Fast and practical indexing and querying of very large graphs. In: SIGMOD (2007)
Ullmann, J.R.: An algorithm for subgraph isomorphism. J. ACMÂ 23(1) (1976)
Wang, H., He, H., Yang, J., Yu, P.S., Yu, J.X.: Dual labeling: Answering graph reachability queries in constant time. In: ICDE (2006)
Yan, X., Yu, P.S., Han, J.: Graph indexing: A frequent structure-based approach. In: SIGMOD (2004)
Zhang, S., Li, S., Yang, J.: Gaddi: distance index based subgraph matching in biological networks. In: EDBT, pp. 192–203 (2009)
Zhao, P., Han, J.: On graph query optimization in large networks. In: VLDB (2010)
Zhu, K., Zhang, Y., Lin, X., Zhu, G., Wang, W.: NOVA: A novel and efficient framework for finding subgraph isomorphism mappings in large graphs. In: Kitagawa, H., Ishikawa, Y., Li, Q., Watanabe, C. (eds.) DASFAA 2010. LNCS, vol. 5981, pp. 140–154. Springer, Heidelberg (2010)
Zou, L., Chen, L., Özsu, M.T.: Distancejoin: Pattern match query in a large graph database. PVLDB 2(1)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Peng, P., Zou, L., Chen, L., Lin, X., Zhao, D. (2011). Subgraph Search over Massive Disk Resident Graphs. In: Bayard Cushing, J., French, J., Bowers, S. (eds) Scientific and Statistical Database Management. SSDBM 2011. Lecture Notes in Computer Science, vol 6809. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22351-8_19
Download citation
DOI: https://doi.org/10.1007/978-3-642-22351-8_19
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-22350-1
Online ISBN: 978-3-642-22351-8
eBook Packages: Computer ScienceComputer Science (R0)