The DOI matches its Crossref record; 25 of the 25 references it cites were found in a registry or an index.
Adaptive name matching in information integration
Abstract
Identifying approximately duplicate database records that refer to the same entity is essential for information integration. The authors compare and describe methods for combining and learning textual similarity measures for name matching.
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Cites
A tutorial on hidden Markov models and selected applications in speech recognition
Rabiner, L. R. (1989) · Proceedings of the IEEE · doi:10.1109/5.18626 · Cited by 22,743
Biological sequence analysis probabilistic models of proteins and nucleic acids
Durbin, R. M., Eddy, S. R., Krogh, A., & Mitchison, G. (1998) · Cited by 3,565
Biological Sequence Analysis: Probabilistic Models of Proteins and Nucleic Acids
Durbin, R., Eddy, S. R., Krogh, A., & Mitchison, G. (1998) · Cambridge University Press eBooks · doi:10.1017/cbo9780511790492 · Cited by 3,246
Fellegi, I. P., & Sunter, A. B. (1969) · Journal of the American Statistical Association · doi:10.1080/01621459.1969.10501049 · Cited by 2,475
Advances in Record-Linkage Methodology as Applied to Matching the 1985 Census of Tampa, Florida
Jaro, M. A. (1989) · Journal of the American Statistical Association · doi:10.1080/01621459.1989.10478785 · Cited by 1,401
Learning to Classify Text Using Support Vector Machines
Joachims, T. (2002) · Springer eBooks · doi:10.1007/978-1-4615-0907-3 · Cited by 1,366
Efficient clustering of high-dimensional data sets with application to reference matching
McCallum, A., Nigam, K., & Ungar, L. H. (2000) · Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining · doi:10.1145/347090.347123 · Cited by 1,096
Learning to Classify Text Using Support Vector Machines: Methods, Theory and Algorithms
Joachims, T. (2002) · Cited by 932
Adaptive duplicate detection using learnable string similarity measures
Bilenko, M., & Mooney, R. J. (2003) · Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining · doi:10.1145/956750.956759 · Cited by 926
Self-citationRistad, E. S., & Yianilos, P. N. (1998) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.682181 · Cited by 859
Cited by
Collective entity resolution in relational data
Bhattacharya, I., & Getoor, L. (2007) · ACM Transactions on Knowledge Discovery from Data · doi:10.1145/1217299.1217304 · Cited by 593
(2006) · doi:10.5555/1182635.1164130 · Cited by 553
Efficient similarity joins for near duplicate detection
Xiao, C., Wang, W., Lin, X., & Yu, J. X. (2008) · Proceedings of the 17th international conference on World Wide Web · doi:10.1145/1367497.1367516 · Cited by 455
Metadata
- Authors
- Bilenko, M., Mooney, R., Cohen, W., Ravikumar, P., & Fienberg, S.
- Venue
- IEEE Intelligent Systems
- Published
- 2003-09
- Volume
- 18
- Issue
- 5
- Pages
- 16-23
- ISSN
- 1541-1672 (ISSN-L)
- OpenAlex
- W2135223301
- Cited by
- 469
- References
- 25
- FWCI
- 26.54
- Type
- journal article
- Language
- en
- Open access
- closed
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- Bilenko, M., Mooney, R., Cohen, W., Ravikumar, P., & Fienberg, S. (2003). Adaptive name matching in information integration. IEEE Intelligent Systems. https://doi.org/10.1109/mis.2003.1234765
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
