Issue No. 05 - May (2010 vol. 22)
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TKDE.2009.117
Ramadhana Bramandia , Nanyang Technological University, Singapore
Byron Choi , Hong Kong Baptist University, Hong Kong
Wee Keong Ng , Nanyang Technological University, Singapore
Recent interests on xml, the Semantic Web, and Web ontology, among other topics, have sparked a renewed interest on graph-structured databases. A fundamental query on graphs is the reachability test of nodes. Recently, 2-hop labeling has been proposed to index a large collection of xml and/or graphs for efficient reachability tests. However, there has been few work on updates of 2-hop labeling. This is compounded by the fact that data may often change over time. In response to these, this paper studies incremental maintenance of 2-hop labeling. We identify the main reason for the inefficiency of updates of existing 2-hop labels. We propose three updatable 2-hop labelings, hybrids of 2-hop labeling, and their incremental maintenance algorithms. The proposed 2--hop labeling is derived from graph connectivity, as opposed to set cover which is used by most previous works. Our experimental evaluation illustrates the space efficiency and update performance of various kinds of 2-hop labelings. Our results show that our incremental maintenance algorithm can be two orders of magnitude faster than previous methods and the size of our 2-hop labeling can be comparable to existing 2-hop labeling. We conclude that there is a natural way to spare some index size for update performance in 2-hop labeling.
Indexing methods, XML/XSL/RDF, query processing.
W. K. Ng, B. Choi and R. Bramandia, "Incremental Maintenance of 2-Hop Labeling of Large Graphs," in IEEE Transactions on Knowledge & Data Engineering, vol. 22, no. , pp. 682-698, 2009.