Critical points for interactive schema matching

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3007, Issue , 2004, Pages 654-664

  Wang, Guilian ^a   Goguen, Joseph ^a   Nam, Young Kwang ^b   Lin, Kai ^c  

^a UNIVERSITY OF CALIFORNIA   (United States)

^b Yonsei University   (South Korea)

^c UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

PURCHASING;

BIBLIOGRAPHIC DATA; BIOLOGICAL DATA; FULLY AUTOMATED; MATCHING ALGORITHM; NON-INTERACTIVE MODES; PURCHASE ORDERS; SCHEMA MATCHING; SEMANTIC FUNCTIONS;

SEMANTICS;

EID: 33745602515     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-24655-8_71     Document Type: Article

References (17)

1. Doan. A, P. Domingos, and A. Y. Halevy: Reconciling schemas of disparate data sources: A machine-learning approach. SIGMOD'01 (2001).
2. Do, H. and E. Rahm: Coma - A System for flexible combination of schema matching approaches. Proc. 28th Conf. on Very Large Databases (VLDB) (2002).
3. Doan, A. Thesis. http://anhai.cs.uiuc.edu/home/thesis/anhai-thesis.pdf (2003)
4. Madhavan, J., P. A. Bernstein, E. Rahm: Generic Schema Matching with Cupid. Proc. 27th Int. Conf. on Very Large Data Bases (VLDB) (2001).
5. Li, W., C. Clifton: SemInt: A Tool for Identifying Attribute Correspondences in Heterogeneous Databases Using Neural network. Data and Knowledge Engineering 33:1 (2000) 49-84.
6. Madhavan, J., P. A. Bernstein, P. Domingos, & A. Y. Halevy. Representing and Reasoning About Mappings between Domain Models. In 18th National Conference on Artificial Intelligence (AAAI), 2002.
7. Melnik, S., E. Rahm, P. A. Bernstein: Rondo: A Programming Platform for Generic Model Management. Proc. ACM Intl. Conference on Management of Data (SIGMOD) (2003) San Diego.
8. Milo, T. and S. Zohar: Using Schema Matching to Simplify Heterogeneous Data Translation. VLDB (1998) 122-133.
9. Miller, R., L. Haas, and M.A. Hernandez: Schema Mapping as Query Discovery. VLDB (2000) 77-88.
10. Melnik, S., H. Garcia-Molina, E. Rahm: Similarity Flooding: A Versatile Graph Matching Algorithm and its Application to Schema Matching. ICDE (2002).
11. Nam, Y. K., J. Goguen, and G. Wang: A Metadata Integration Assistant Generator for Heterogeneous Distributed Databases. Proc. Intl. Conference on Ontologies, DataBases, and Applications of Semantics for Large Scale Information Systems, Springer, Lecture Notes in Computer Science, 2519 (2002) 1332-1344.
12. Wang, G., J. Goguen, Y. K. Nam and K. Lin. Critical Points for Interactive Schema Matching. Technical Report. Dept. Computer and Engineering, UCSD (2003).
13. Rahm, E. and Bernstein, P. A.: On Matching Schemas Automatically. Techn. Report (2001) Dept. of Comp. Science, Univ. of Leipzig. http://dol.uni-leipzig. de/pub/2001-5/en
14. Biskup, J. and D. W. Embley: Extracting information from heterogeneous information sources using ontologically specified target view. Information Systems 28 (2003) 169-212.
15. Li Xu and D. Embley: Using Domain Ontologies to Discover Direct and Indirect Matches for Schema Elements. Proc. Semantic Integration Workshop (2003) Sanibel Island, Florida.
16. Do, H.H., Melnik, S., Rahm, E.: Comparison of Schema Matching Evaluations. Proc. GI-Workshop "Web and Databases", Erfurt, LNCS 2593, Springer-Verlag (2002).
17. He, B. and K. C. Chang: Statistical Schema Matching across Web Query Interfaces. In ACM Intl. Conference on Management of Data (SIGMOD) (2003) San Diego.