Periscope/GQ: A graph querying toolkit

Proceedings of the VLDB Endowment

Volumn 1, Issue 2, 2008, Pages 1404-1407

  Tian, Yuanyuan ^a   Patel, Jignesh M ^a   Nair, Viji ^b   Martini, Sebastian ^b   Kretzler, Matthias ^b  

^a UNIVERSITY OF MICHIGAN   (United States)

^b UNIVERSITY OF MICHIGAN MEDICAL SCHOOL   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

GRAPHIC METHODS; OPTICAL INSTRUMENTS; SOCIAL NETWORKING (ONLINE);

APPROXIMATE GRAPH MATCHING; BIOLOGICAL NETWORKS; COMPLEX ANALYSIS; EMERGING APPLICATIONS; INDEXING TECHNIQUES; QUERY EXECUTION; REAL LIFE DATA; WEALTH OF INFORMATION;

QUERY PROCESSING;

EID: 84859252157     PISSN: None     EISSN: 21508097     Source Type: Conference Proceeding    
DOI: 10.14778/1454159.1454184     Document Type: Article

References (13)

1. A. Gupta and B. Ludäscher. The many faces of process interaction graphs: A data management perspective. OMICS, 7(1):105-108, 2003.
2. R. H. Guting. Graphdb: Modeling and querying graphs in databases. In VLDB, 1994.
3. K. Wilkinson et al. Efficient RDF storage and retrieval in Jena2. Techniqual Report: HPL-2003-266, 2003.
4. M. Ley. DBLP Bibliography. http://www.informatik.uni-trier.de/~ley/db/.
5. M. Baitaluk et al. Pathsys: Integrating molecular interaction graphs for systems biology. BMC Bioinformatics, 7(55), 2006.
6. M. Kanehisa et al. The kegg resources for deciphering the genome. Nucleic Acids Res., 32:D277-D280, 2004.
7. D. Shasha, J. T.-L. Wang, and R. Giugno. Algorithmics and applications of tree and graph searching. In PODS, 2002.
8. L. Sheng, Z. M. Ozsoyoglu, and G. Ozsoyoglu. A graph query language and its query processing. In ICDE, 1999.
9. Y. Tian, R. A. Hankins, and J. M. Patel. Efficient aggregation for graph summarization. In SIGMOD, 2008.
10. Y. Tian and J. M. Patel. TALE: a tool for approximate large graph matching. In ICDE, 2008.
11. Y. Tian et al. SAGA: a subgraph matching tool for biological graphs. Bioinformatics, 23(2):232-239, 2007.
12. X. Yan, P. S. Yu, and J. Han. Graph indexing: a frequent structure-based approach. In SIGMOD, 2004.
13. X. Yan, P. S. Yu, and J. Han. Substructure similarity search in graph databases. In SIGMOD, 2005.