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» Ontology-Driven Semantic Matches between Database Schemas
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BTW
2009
Springer
138views Database» more  BTW 2009»
14 years 5 months ago
GEM: A Generic Visualization and Editing Facility for Heterogeneous Metadata
: Many model management tasks, e.g., schema matching or merging, require the manual handling of metadata. Given the diversity of metadata, its many different representations and mo...
Jürgen Göres, Thomas Jörg, Boris St...
VLDB
1994
ACM
127views Database» more  VLDB 1994»
14 years 3 months ago
Semantic Integration in Heterogeneous Databases Using Neural Networks
One important step in integrating heterogeneous databases is matching equivalent attributes: Determining which fields in two databasesrefer to the samedata. The meaning of informa...
Wen-Syan Li, Chris Clifton
DMKD
2004
ACM
133views Data Mining» more  DMKD 2004»
14 years 4 months ago
Mining complex matchings across Web query interfaces
To enable information integration, schema matching is a critical step for discovering semantic correspondences of attributes across heterogeneous sources. As a new attempt, this p...
Bin He, Kevin Chen-Chuan Chang, Jiawei Han
WWW
2007
ACM
14 years 11 months ago
Bridging the gap between OWL and relational databases
Schema statements in OWL are interpreted quite differently from analogous statements in relational databases. If these statements are meant to be interpreted as integrity constrai...
Boris Motik, Ian Horrocks, Ulrike Sattler
ICDT
2010
ACM
195views Database» more  ICDT 2010»
14 years 3 months ago
Answering Non-Monotonic Queries in Relational Data Exchange
Relational data exchange deals with translating a relational database instance over some source schema into a relational database instance over some target schema, according to a ...
André Hernich