Information integration from semantically heterogeneous biological data sources

Doina Caragea, Jie Bao, Jyotishman Pathak, Adrian Silvescu, Carson Andorf, Drena Dobbs, Vasant Honavar

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

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.

Original languageEnglish (US)
Title of host publicationProceedings - Sixteenth International Workshop on Database and Expert Systems Applications, DEXA 2005
Pages580-584
Number of pages5
DOIs
StatePublished - Dec 1 2005
Event16th International Workshop on Database and Expert Systems Applications, DEXA 2005 - Copenhagen, Denmark
Duration: Aug 22 2005Aug 26 2005

Publication series

NameProceedings - International Workshop on Database and Expert Systems Applications, DEXA
Volume2006
ISSN (Print)1529-4188

Other

Other16th International Workshop on Database and Expert Systems Applications, DEXA 2005
CountryDenmark
CityCopenhagen
Period8/22/058/26/05

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All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

Caragea, D., Bao, J., Pathak, J., Silvescu, A., Andorf, C., Dobbs, D., & Honavar, V. (2005). Information integration from semantically heterogeneous biological data sources. In Proceedings - Sixteenth International Workshop on Database and Expert Systems Applications, DEXA 2005 (pp. 580-584). [1508335] (Proceedings - International Workshop on Database and Expert Systems Applications, DEXA; Vol. 2006). https://doi.org/10.1109/DEXA.2005.118