An evolutionary approach to complex schema matching
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- @Article{deCarvalho:2013:IS,
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author = "Moises Gomes {de Carvalho} and
Alberto H. F. Laender and Marcos Andre Goncalves and Altigran S. {da Silva}",
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title = "An evolutionary approach to complex schema matching",
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journal = "Information Systems",
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volume = "38",
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number = "3",
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pages = "302--316",
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year = "2013",
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ISSN = "0306-4379",
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DOI = "doi:10.1016/j.is.2012.10.002",
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URL = "http://www.sciencedirect.com/science/article/pii/S0306437912001287",
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abstract = "The schema matching problem can be defined as the task
of finding semantic relationships between schema
elements existing in different data repositories.
Despite the existence of elaborated graphic tools for
helping to find such matches, this task is usually
manually done. In this paper, we propose a novel
evolutionary approach to addressing the problem of
automatically finding complex matches between schemas
of semantically related data repositories. To the best
of our knowledge, this is the first approach that is
capable of discovering complex schema matches using
only the data instances. Since we only exploit the data
stored in the repositories for this task, we rely on
matching strategies that are based on record
deduplication (aka, entity-oriented strategy) and
information retrieval (aka, value-oriented strategy)
techniques to find complex schema matches during the
evolutionary process. To demonstrate the effectiveness
of our approach, we conducted an experimental
evaluation using real-world and synthetic datasets. The
results show that our approach is able to find complex
matches with high accuracy, similar to that obtained by
more elaborated (hybrid) approaches, despite using only
evidence based on the data instances.",
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keywords = "genetic algorithms, genetic programming, Complex
schema matchings, Entity-oriented strategy,
Value-oriented strategy",
- }
Genetic Programming entries for
Moises G de Carvalho
Alberto H F Laender
Marcos Andre Goncalves
Altigran S da Silva
Citations