Abstract
The graph is a powerful tool for representing and understanding objects and their relationships in various application domains. Recently, graphs have been widely used to model many complex structured and schemaless data such as semantic web, social networks, biological networks, chemical compounds, multimedia databases and business process models. The growing popularity of graph databases has generated interesting and fundamental data management problems which attracted a lot of attention from the database community such as: subgraph search queries, supergraph search queries, frequent subgraph mining and approximate subgraph matching. In principle, efficient management of large graph databases is a key performance issue in any graph-based application.
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Sakr, S., Wang, W. (2010). GDM2010 Workshop Organizers’ Message. In: Yoshikawa, M., Meng, X., Yumoto, T., Ma, Q., Sun, L., Watanabe, C. (eds) Database Systems for Advanced Applications. DASFAA 2010. Lecture Notes in Computer Science, vol 6193. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14589-6_1
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DOI: https://doi.org/10.1007/978-3-642-14589-6_1
Publisher Name: Springer, Berlin, Heidelberg
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