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Computing Label-Constraint Reachability in Graph Databases

Abstract Details

2012, MS, Kent State University, College of Arts and Sciences / Department of Computer Science.
Our world today is generating huge amounts of graph data such as social networks, biological networks, and the semantic web. Many of these real-world graphs are edge-labeled graphs, i.e., each edge has a label that denotes the relationship between the two vertices connected by the edge. A fundamental research problem on these labeled graphs is how to handle the label-constraint reachability query: Can vertex u reach vertex v through a path whose edge labels are constrained by a set of labels? In this work, we introduce a novel tree-based index framework which utilizes the directed maximal weighted spanning tree algorithm and sampling techniques to maximally compress the generalized transitive closure for the labeled graphs . An extensive experimental evaluation on both real and synthetic datasets demonstrates the efficiency of our approach in answering label-constraint reachability queries.
RUOMING JIN (Advisor)
Peyravi Hassan (Committee Member)
YE ZHAO (Committee Member)
53 p.

Recommended Citations

Citations

  • HONG, H. (2012). Computing Label-Constraint Reachability in Graph Databases [Master's thesis, Kent State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=kent1333472725

    APA Style (7th edition)

  • HONG, HUI. Computing Label-Constraint Reachability in Graph Databases. 2012. Kent State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=kent1333472725.

    MLA Style (8th edition)

  • HONG, HUI. "Computing Label-Constraint Reachability in Graph Databases." Master's thesis, Kent State University, 2012. http://rave.ohiolink.edu/etdc/view?acc_num=kent1333472725

    Chicago Manual of Style (17th edition)