A ranking-based approach to discover semantic associations between linked data

CEUR Workshop Proceedings

Volumn 611, Issue , 2010, Pages 18-29

  Vidal, María Esther ^a   Rashid, Louiqa ^b   Ibáñez, Luis ^a   Rivera, Jean Carlo ^a   Rodríguez, Héctor ^a   Ruckhaus, Edna ^a  

^a UNIVERSIDAD SIMÓN BOLÍVAR   (Venezuela)

^b UNIVERSITY OF MARYLAND   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DIRECT SAMPLING; DOMAIN ONTOLOGIES; EXACT SOLUTION; LITERATURE-BASED DISCOVERIES; RANKING TECHNIQUE; REASONING ALGORITHMS; SCIENTIFIC DATA; SEMANTIC ASSOCIATIONS;

BAYESIAN NETWORKS; HEALTH CARE; LEARNING SYSTEMS;

DATA HANDLING;

EID: 84889061298     PISSN: 16130073     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (26)

1. Disease Ontology. http://diseaseontology.sourceforge.net.
2. EHR Ontology. http://trajano.us.es./isabel/EHR/EHRRM.owl.
3. D. Fogaras, B. Ŕacz, K. Csaloǵany, and T. Sarĺos. Towards scaling fully personalized pagerank: Algorithms, lower bounds, and experiments. Internet Mathematics, 2(3), 2005.
4. L. Getoor and C. P. Diehl. Introduction to the special issue on link mining. SIGKDD Explorations, 7(2), 2005.
5. The Gene Ontology. http://www.geneontology.org/.
6. K.-I. Goh, M. E. Cusick, D. Valle, B. Childs, M. Vidal, and A.-L. Barabasi. The human disease network. Proceedings of the National Academy of Sciences of the United States of America, 104:8685-8690, 2007.
7. C. Halaschek-Wiener, B. Aleman-Meza, I. B. Arpinar, and A. P. Sheth. Discovering and ranking semantic associations over a large rdf metabase. In VLDB, pages 1317-1320, 2004.
8. J. Han, X. Yan, and P. S. Yu. Mining, indexing, and similarity search in graphs and complex structures. In ICDE, page 106, 2006.
9. O. Hassanzadeh, A. Kementsietsidis, L. Lim, R. J. Miller, and M. Wang. Linkedct: A linked data space for clinical trials. In Proceedings of the WWW2009 workshop on Linked Data on the Web (LDOW2009), 2009.
10. H. Hu, X. Yan, Y. H. 0003, J. Han, and X. J. Zhou. Mining coherent dense subgraphs across massive biological networks for functional discovery. In ISMB (Supplement of Bioinformatics), pages 213-221, 2005.
11. G. Jeh and J. Widom. Simrank: A measure of structural-context similarity. In KDD, pages 538-543, 2002.
12. M. Kuramochi and G. Karypis. Finding frequent patterns in a large sparse graph. Data Min. Knowl. Discov., 11(3):243-271, 2005.
13. Y. Ling and W. Sun. A supplement to sampling-based methods for query size estimation in a database system. SIGMOD Record, 21(4):12-15, 1992.
14. R. Lipton and J. Naughton. Query size estimation by adaptive sampling (extended abstract). In PODS '90: Proceedings of the ninth ACM SIGACT-SIGMOD-SIGART symposium on Principles of database systems, pages 40-46. New York, NY, USA: ACM Press, 1990.
15. Medical Subject Heading (MeSH) . http://www.nlm.nih/gov/mesh.
16. O. C. Organization. GALEN common reference model.
17. L. Raschid, Y. Wu, W. Lee, M. Vidal, P.Tsaparas, P. Srinivasan, and A. Sehgal. Ranking target objects of navigational queries. In WIDM, pages 27-34, 2006.
18. E. Ruckhaus, E. Ruiz, and M. Vidal. Query optimization in the semantic web. In Theory and Practice of Logic Programming. Special issue on Logic Programming and the Web, 2008.
19. S. Russell and P.Norvig. Artificial Intelligence: A Modern Approach. Second Edition. Princeton Hall, 2003.
20. An Overview to RxNorm. http://www.nlm.nih.gov/research/umls/rxnorm/.
21. P. Srinivasan, b. Libbus, and A. Kumar. Mining medline: Postulating a beneficial role for curcumin longa in retinal diseases. In L. Hirschman and J. Pustejovsky, editors, LT-NAACL 2004 Workshop: BioLINK 2004, Linking Biological Literature, Ontologies and Databases, pages 33-40, 2004.
22. D. Swanson. Migraine and magnesium: Eleven neglected connections. In Perspective in Biology and Medicine, 1988.
23. M.-E. Vidal, E. Ruckhaus, and N. Marquez. BioNav: A System to Discover Semantic Web Associations in the Life Sciences. In ESWC 09-Poster Session, 2009.
24. voiD Guide - Using the Vocabulary of Interlinked Datasets. http://rdfs.org/ns/void-guide.
25. J. Volz, C. Bizer, M. Gaedke, and G. Kobilarov. Discovering and maintaining links on the web of data. In International Semantic Web Conference (ISWC), 2009.
26. D. S. Wishart, C. Knox, A. C. Guo, S. Shrivastava, M. Hassanali, P. Stothard, Z. Chang, and J. Woolsey. DrugBank: A comprehensive resource for in silico drug discovery and exploration. Nucleic Acids Research, 34, 2006.