A framework for semantic link discovery over relational data

International Conference on Information and Knowledge Management, Proceedings

Volumn , Issue , 2009, Pages 1027-1036

  Hassanzadeh, Oktie ^a,b   Kementsietsidis, Anastasios ^b   Lim, Lipyeow ^c   Miller, Renée J ^a   Wang, Min ^b  

^a UNIVERSITY OF TORONTO   (Canada)

^b IBM T J WATSON RESEARCH CENTER   (United States)

^c UNIVERSITY OF HAWAII   (United States)

Author keywords

Data management; Linked data; Record matching; Semantic link discovery

Indexed keywords

COMMUNITY PROJECT; DATA ITEMS; DATA MANAGEMENT; DATA RECORDS; DATA SOURCE; HIGH QUALITY; LINK DISCOVERY; REAL-WORLD SCENARIO; RELATIONAL DATA; SEMANTIC LINK; WEB DATA SOURCES;

KNOWLEDGE MANAGEMENT;

SEMANTICS;

EID: 74549160353     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1645953.1646084     Document Type: Conference Paper

References (15)

1. A. Arasu, V. Ganti, and R. Kaushik. Efficient Exact Set-Similarity Joins. In Proc. of the Int'l Conf. on Very Large Data Bases (VLDB), pages 918-929, 2006.
2. S. Auer, S. Dietzold, J. Lehmann, S. Hellmann, and D. Aumueller. Triplify: Light-Weight Linked Data Publication from Relational Databases. In Int'l World Wide Web Conference (WWW), pages 621-630, 2009.
3. R. J. Bayardo, Y. Ma, and R. Srikant. Scaling Up All Pairs Similarity Search. In Int'l World Wide Web Conference (WWW), pages 131-140, Banff, Canada, 2007.
4. I. Bhattacharya and L. Getoor. Query-time Entity Resolution. Journal of Artificial Intelligence Research (JAIR), 30:621-657, 2007.
5. A. Bilke, J. Bleiholder, C. Böhm, K. Draba, F. Naumann, and M. Weis. Automatic Data Fusion with HumMer. In Proc. of the Int'l Conf. on Very Large Data Bases (VLDB), pages 1251-1254, 2005.
6. C. Bizer, T. Heath, and T. Berners-Lee. Linked Data: Principles and State of the Art. In Int'l World Wide Web Conference (WWW), November 2008.
7. C. Bizer and A. Seaborne. D2RQ - Treating Non-RDF Databases as Virtual RDF Graphs. In Proc. of the Int'l Semantic Web Conference (ISWC), November 2004.
8. S. Das, E. I. Chong, G. Eadon, and J. Srinivasan. Supporting Ontology-Based Semantic matching in RDBMS. In Proc. of the Int'l Conf. on Very Large Data Bases (VLDB), pages 1054-1065, 2004.
9. S. Dill, N. Eiron, D. Gibson, D. Gruhl, R. Guha, A. Jhingran, T. Kanungo, S. Rajagopalan, A. Tomkins, J. A. Tomlin, and J. Y. Zien. SemTag and Seeker: Bootstrapping the Semantic Web via Automated Semantic Annotation. In Int'l World Wide Web Conference (WWW), 2003.
10. A. K. Elmagarmid, P. G. Ipeirotis, and V. S. Verykios. Duplicate Record Detection: A Survey. IEEE Transactions on Knowledge and Data Engineering, 19(1):1-16, 2007.
11. H. Galhardas, D. Florescu, D. Shasha, E. Simon, and C.-A. Saita. Declarative Data Cleaning: Language, Model, and Algorithms. In Proc. of the Int'l Conf. on Very Large Data Bases (VLDB), pages 371-380, 2001.
12. L. Gravano, P. G. Ipeirotis, H. V. Jagadish, N. Koudas, S. Muthukrishnan, and D. Srivastava. Approximate String Joins in a Database (Almost) for Free. In Proc. of the Int'l Conf. on Very Large Data Bases (VLDB), pages 491-500, 2001.
13. O. Hassanzadeh. Benchmarking Declarative Approximate Selection Predicates. Master's thesis, University of Toronto, February 2007.
14. P. Indyk, R. Motwani, P. Raghavan, and S. Vempala. Locality-Preserving Hashing in Multidimensional Spaces. In ACM Symp. on Theory of Computing (STOC), pages 618-625, 1997.
15. A. Kementsietsidis, L. Lim, and M. Wang. Supporting Ontology-based Keyword Search over Medical Databases. In Proceedings of the AMIA 2008 Symposium, pages 409-13. American Medical Informatics Association, 2008.