Abstract
Graph data is ubiquitous in various data applications, such as chemical compounds, proteins, and social network. Graph containment query processing in large-scale graph databases is one of the key challenges to the database community. The graph feature based index structures are widely used to narrow the isomorphism validating space. However, most of the existing index structures have expensive constructing overheads for the mining of frequent graph features. This paper proposes a novel way to query containment digraphs based on the partial order constraints. Firstly, the partial orders in digraphs, which are easier to obtain, are proved to be capable of filtering graph containment queries. Secondly, the partial orders are converted into layered vertex sequences, which can filter the digraphs in an efficient way. Thirdly, two optimized layered vertex sequences are further introduced to improve the filter ability. Finally, experimental results are presented to show the effectiveness and efficiency of the proposed algorithms.
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© 2014 Springer International Publishing Switzerland
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Lu, J., Lu, N., Xi, Y., Zhang, B. (2014). Digraph Containment Query Is Like Peeling Onions. In: Decker, H., Lhotská, L., Link, S., Spies, M., Wagner, R.R. (eds) Database and Expert Systems Applications. DEXA 2014. Lecture Notes in Computer Science, vol 8644. Springer, Cham. https://doi.org/10.1007/978-3-319-10073-9_40
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DOI: https://doi.org/10.1007/978-3-319-10073-9_40
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-10072-2
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