Information Integration from Semantically Heterogeneous Biological Data Sources.
We present the first prototype of INDUS (Intelligent Data Understanding System), a federated, query-centric 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.
Caragea
Doina
D
AI Research Laboratory, Department of Computer Science, 226 Atanasoff Hall, Iowa State University, Ames, IA 50011.
Bao
Jie
J
Pathak
Jyotishman
J
Silvescu
Adrian
A
Andorf
Carson
C
Dobbs
Drena
D
Honavar
Vasant
V
Int J Hybrid Intell Syst. 2004 Apr 1;1(1-2):80-89
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