- AutorIn
- Erhard Rahm
- Philip A. Bernstein
- Titel
- A survey of approaches to automatic schema matching
- Zitierfähige Url:
- https://nbn-resolving.org/urn:nbn:de:bsz:15-qucosa2-319685
- Quellenangabe
- The VLDB Journal Erscheinungsort: Berlin [u.a.]
Verlag: Springer
Erscheinungsjahr: 2001
Jahrgang: 10
Heft: 4
Seiten: 334-350
ISSN: 1066-8888
E-ISSN: 0949-877X - Erstveröffentlichung
- 2001
- Abstract (EN)
- Schema matching is a basic problem in many database application domains, such as data integration, E-business, data warehousing, and semantic query processing. In current implementations, schema matching is typically performed manually, which has significant limitations. On the other hand, previous research papers have proposed many techniques to achieve a partial automation of the match operation for specific application domains. We present a taxonomy that covers many of these existing approaches, and we describe the approaches in some detail. In particular, we distinguish between schema-level and instance-level, element-level and structure-level, and language-based and constraint-based matchers. Based on our classification we review some previous match implementations thereby indicating which part of the solution space they cover. We intend our taxonomy and review of past work to be useful when comparing different approaches to schema matching, when developing a new match algorithm, and when implementing a schema matching component.
- Freie Schlagwörter (EN)
- Informatics, Data warehousing, Schema integration, Graph matching, Maschine learning
- Klassifikation (DDC)
- 004
- Version / Begutachtungsstatus
- publizierte Version / Verlagsversion
- URN Qucosa
- urn:nbn:de:bsz:15-qucosa2-319685
- Veröffentlichungsdatum Qucosa
- 19.10.2018
- Dokumenttyp
- Artikel
- Sprache des Dokumentes
- Englisch