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Similarity flooding: a versatile graph matching algorithm and its application to schema matching
Abstract
Matching elements of two data schemas or two data instances plays a key role in data warehousing, e-business, or even biochemical applications. In this paper we present a matching algorithm based on a fixpoint computation that is usable across different scenarios. The algorithm takes two graphs (schemas, catalogs, or other data structures) as input, and produces as output a mapping between corresponding nodes of the graphs. Depending on the matching goal, a subset of the mapping is chosen using filters. After our algorithm runs, we expect a human to check and if necessary adjust the results. As a matter of fact, we evaluate the 'accuracy' of the algorithm by counting the number of needed adjustments. We conducted a user study, in which our accuracy metric was used to estimate the labor savings that the users could obtain by utilizing our algorithm to obtain an initial matching. Finally, we illustrate how our matching algorithm is deployed as one of several high-level operators in an implemented testbed for managing information models and mappings.
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Cites
The anatomy of a large-scale hypertextual Web search engine
Brin, S., & Page, L. (1998) · Computer Networks and ISDN Systems · doi:10.1016/s0169-7552(98)00110-x · Cited by 16,004
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A survey of approaches to automatic schema matching
Rahm, E., & Bernstein, P. A. (2001) · The VLDB Journal · doi:10.1007/s007780100057 · Cited by 3,352
Self-citationSimRank: a measure of structural-context similarity
Jeh, G., & Widom, J. (2002) · Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining · doi:10.1145/775047.775126 · Cited by 1,925
Graph based anomaly detection and description: a survey
Akoglu, L., Tong, H., & Koutra, D. (2015) · Data Mining and Knowledge Discovery · doi:10.1007/s10618-014-0365-y · Cited by 1,504
User Identity Linkage across Online Social Networks: A Review
Shu, K., Wang, S., Tang, J., Zafarani, R., & Liu, H. (2017) · ACM SIGKDD Explorations Newsletter · doi:10.1145/3068777.3068781 · Cited by 267
Metadata
- Authors
- Melnik, S., Garcia-Molina, H., & Rahm, E.
- Venue
- Proceedings 18th International Conference on Data Engineering
- Publisher
- IEEE Comput. Soc
- Published
- 2003-06-25
- Pages
- 117-128
- ISSN
- 1084-4627 (ISSN-L)
- OpenAlex
- W2156543375
- Cited by
- 1,341
- References
- 1
- FWCI
- 50.09
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Melnik, S., Garcia-Molina, H., & Rahm, E. (2003). Similarity flooding: a versatile graph matching algorithm and its application to schema matching. Proceedings 18th International Conference on Data Engineering. https://doi.org/10.1109/icde.2002.994702
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