title: Information Integration from Semantically Heterogeneous Biological Data Sources.
abstract: 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.
authors.affiliation: AI Research Laboratory, Department of Computer Science, 226 Atanasoff Hall, Iowa State University, Ames, IA 50011.
authors.forename: Doina
authors.initials: D
authors.lastname: Caragea
authors.forename: Jie
authors.initials: J
authors.lastname: Bao
authors.forename: Jyotishman
authors.initials: J
authors.lastname: Pathak
authors.forename: Adrian
authors.initials: A
authors.lastname: Silvescu
authors.forename: Carson
authors.initials: C
authors.lastname: Andorf
authors.forename: Drena
authors.initials: D
authors.lastname: Dobbs
authors.forename: Vasant
authors.initials: V
authors.lastname: Honavar
references.citation: Int J Hybrid Intell Syst. 2004 Apr 1;1(1-2):80-89
references.pmid: 20351798