Paper Info
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.
Year
DOI
Venue
2005
10.1109/DEXA.2005.118
SIXTEENTH INTERNATIONAL WORKSHOP ON DATABASE AND EXPERT SYSTEMS APPLICATIONS, PROCEEDINGS
Keywords
Field
DocType
indus,biomedical research,data warehouse,information integration,bioinformatics,distributed databases,biological data,ontology mapping
Data warehouse,Ontology (information science),Ontology-based data integration,Biological data,Data mining,Ontology,Information integration,Information retrieval,Computer science,Distributed database,Knowledge acquisition,Database
Conference
Volume
Citations 
PageRank 
2005
5
0.43
References 
Authors
9
7
Name
Order
Citations
PageRank
Doina Caragea158663.35
Jie Bao291.88
Jyotishman Pathak367776.52
Adrian Silvescu432727.68
Carson M. Andorf5728.86
Drena Dobbs642335.43
Vasant Honavar73353468.10