2005 CorpusBasedSchemaMatching
- (Madhavan et al., 2005) ⇒ Jayant Madhavan, Philip A. Bernstein, AnHai Doan, Alon Halevy. (2005). “Corpus-based Schema Matching.” In: Proceedings of the 21st International Conference on Data Engineering (ICDE 2005). doi:10.1109/ICDE.2005.39
Subject Headings: Schema Matching Algorithm, Schema Matching Task.
Notes
Cited
~266 http://scholar.google.com/scholar?cites=3931257466341788086
Quotes
Abstract
Schema matching is the problem of identifying corresponding elements in different schemas. Discovering these correspondences or matches is inherently difficult to automate. Past solutions have proposed a principled combination of multiple algorithms. However, these solutions sometimes perform rather poorly due to the lack of sufficient evidence in the schemas being matched. In this paper we show how a corpus of schemas and mappings can be used to augment the evidence about the schemas being matched, so they can be matched better. Such a corpus typically contains multiple schemas that model similar concepts and hence enables us to learn variations in the elements and their properties. We exploit such a corpus in two ways. First, we increase the evidence about each element being matched by including evidence from similar elements in the corpus. Second, we learn statistics about elements and their relationships and use them to infer constraints that we use to prune candidate mappings. We also describe how to use known mappings to learn the importance of domain and generic constraints. We present experimental results that demonstrate corpus-based matching outperforms direct matching (without the benefit of a corpus) in multiple domains.
References
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| Author | volume | Date Value | title | type | journal | titleUrl | doi | note | year | |
|---|---|---|---|---|---|---|---|---|---|---|
| 2005 CorpusBasedSchemaMatching | AnHai Doan Jayant Madhavan Philip A. Bernstein | Corpus-based Schema Matching | 10.1109/ICDE.2005.39 |