Information integration from semantically heterogeneous biological data sources Academic Article uri icon


MeSH Major

  • Disease
  • International Classification of Diseases


  • 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.

publication date

  • December 2005



  • Academic Article



  • eng

PubMed Central ID

  • PMC2929138

Digital Object Identifier (DOI)

  • 10.1109/DEXA.2005.118

PubMed ID

  • 20802821

Additional Document Info

start page

  • 580

end page

  • 584


  • 2006