Information Integration from Semantically Heterogeneous Biological Data SourcesProceedings of the 16th International Workshop on Database and Expert Systems Applications
Document TypeConference Proceeding
Conference16th International Workshop on Database and Expert Systems Applications
Publication VersionAccepted Manuscript
Conference Title16th International Workshop on Database and Expert Systems Applications
Conference DateAugust 22-26, 2005
AbstractWe present the first prototype of INDUS (Intelligent Data Understanding System), a federated, querycentric system for information integration and knowledge acquisition from distributed, semantically heterogeneous data sources that can be viewed (conceptually) as tables. INDUS employs ontologies and inter-ontology mappings, to enable a user to view a collection of such data sources (regardless of location, internal structure and query interfaces) as though they were a collection of tables structured according to an ontology supplied by the user. This allows INDUS to answer user queries against distributed, semantically heterogeneous data sources without the need for a centralized data warehouse or a common global ontology.
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Citation InformationDoina Caragea, Jie Bao, Jyotishman Pathak, Adrian Silvescu, et al.. "Information Integration from Semantically Heterogeneous Biological Data Sources" Copenhagen, DenmarkProceedings of the 16th International Workshop on Database and Expert Systems Applications (2005) p. 580 - 584
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