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Schema matching and mapping-based data integration

Schema matching aims at identifying semantic correspondences between elements of two schemas, e.g., database schemas, ontologies, and XML message formats. It is needed in many database applications, such as integration of web data sources, data warehouse loading and XML message mapping. In today's systems, schema matching is manual; a time-consuming, tedious, and error-prone process, which becomes increasingly impractical with a higher number of schemas and data sources to be dealt with. To reduce the amount of manual effort as much as possible, approaches to semi-automatically determine element correspondences are required.

Identiferoai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:16447
Date19 October 2017
CreatorsDo, Hong-Hai
ContributorsRahm, Erhard, Bernstein, Philip A., Doan, AnHai, Universit├Ąt Leipzig
Source SetsHochschulschriftenserver (HSSS) der SLUB Dresden
LanguageGerman
Detected LanguageEnglish
Typedoc-type:doctoralThesis, info:eu-repo/semantics/doctoralThesis, doc-type:Text
Rightsinfo:eu-repo/semantics/openAccess
Relationurn:nbn:de:bsz:15-qucosa2-163403, qucosa:16340

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