Scalable matching of industry models - A case study

CEUR Workshop Proceedings

Volumn 551, Issue , 2009, Pages 1-12

  Byrne, Brian ^a   Fokoue, Achille ^b   Kalyanpur, Aditya ^b   Srinivas, Kavitha ^b   Wang, Min ^b  

^a IBM   (United States)

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

Author keywords

Model matching

Indexed keywords

DIFFERENT DOMAINS; DOMAIN EXPERTS; MATCHING MODELS; MODEL MATCHING; ONTOLOGY MATCHING; XML-SCHEMA;

ERRORS; HEALTH CARE; ONTOLOGY;

INDUSTRY;

EID: 84868520120     PISSN: 16130073     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (19)

1. Jian, N., Hu, W., Cheng, G., Qu, Y.: Falcon-ao: Aligning ontologies with falcon. In: Proceedings of K-CAP Workshop on Integrating Ontologies. (2005)
2. Qu, Y., Hu, W., Cheng, G.: Constructing virtual documents for ontology matching. In: Proceedings of the 15th international conference on World Wide Web, Edinburgh, UK (2006)
3. Mao, M., Peng, Y., Spring, M.: A profile propagation and information retrieval based ontology mapping approach. In: Proceedings of the 3rd International Conference on Semantics, Knowledge and Grid (research track), Xian, China (2007)
4. Noy, N.F.: Semantic integration: a survey of ontology-based approaches. SIGMOD Rec. 33(4) (2004) 65-70 (Pubitemid 40056335)
5. Kolaitis, P.G.: Schema mappings, data exchange, and metadata management. In: Proceedings of the 24th ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, Baltimore, Maryland (2005)
6. Bernstein, P.A., Melnik, S.: Model management 2.0: manipulating richer mappings. In: Proceedings of the ACM SIGMOD International Conference on Management of Data, Beijing, China (2007)
7. Doan, A., Madhavan, J., Dhamankar, R., Domingos, P., Halevy, A.: Learning to match ontologies on the semantic web. The VLDB Journal 12(4) (2003) 303-319 (Pubitemid 37503689)
8. Noy, N.F., Musen, M.A.: Prompt: Algorithm and tool for automated ontology merging and alignment. In: Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence, Austin, Texas, USA (2000)
9. Kotis, K., Vouros, G., Stergiou, K.: Capturing semanticstowards automatic coordination of domain ontologies. In: AIMSA. (2004) 22-32
10. Lambrix, P., Tan, H.: Sambo - a system for aligning and merging biomedical ontologies. Web Semant. 4(3) (2006) 196-206 (Pubitemid 44331733)
11. Madhavan, J., Bernstein, P.A., Rahm, E.: Generic schema matching with cupid. In: VLDB '01: Proceedings of the 27th International Conference on Very Large Data Bases, San Francisco, CA, USA, Morgan Kaufmann Publishers Inc. (2001) 49-58
12. Castano, S., De Antonellis, V., De Capitani di Vimercati, S.: Global viewing of heterogeneous data sources. IEEE Trans. on Knowl. and Data Eng. 13(2) (2001) 277-297 (Pubitemid 32444141)
13. Miller, R.J., Haas, L.M., Hernández, M.A.: Schema mapping as query discovery. In: Proceedings of 26th International Conference on Very Large Data Bases, Cairo, Egypt (2000)
14. Miller, R.J., Hernández, M.A., Haas, L.M., Yan, L.L., Ho, C.T.H., Fagin, R., Popa, L.: The clio project: Managing heterogeneity. SIGMOD Record 30(1) (2001)
15. Bernstein, P.A., Ho, H.: Model management and schema mappings: Theory and practice. In: Proceedings of the 33rd International Conference on Very Large Data Bases, University of Vienna, Austria (2007)
16. Hernández, M.A., Popa, L., Ho, H., Naumann, F.: Clio: A schema mapping tool for information integration. In: Proceedings of the 8th International Symposium on Parallel Architectures, Algorithms and Networks, Las Vegas, Nevada, USA (2005)
17. Raghavan, V.V., Wong, S.K.M.: A critical analysis of vector space model for information retrieval. Journal of the American Society for Information Science 37(5) (January 1999) 279-287
18. Jiang, J.J., Conrath, D.W.: Semantic similarity based on corpus statistics and lexical taxonomy. CoRR cmp-lg/9709008 (1997)
19. Lin, D.: An information-theoretic definition of similarity. In: ICML '98: Proceedings of the Fifteenth International Conference on Machine Learning, San Francisco, CA, USA, Morgan Kaufmann Publishers Inc. (1998) 296-304