INtelligent Data Understanding System

In computer science the INtelligent Data Understanding System is a project of the University of Iowa Computer Science Department.

INDUS is a federated, query-centric system for metadata discovery from distributed, semantically heterogeneous data.[1]

INDUS employs ontologies and inter-ontology mappings, to enable a user or an application to view a collection of physically distributed, autonomous, semantically heterogeneous 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.[2]

See also

References
  1. "Google Code Archive - Long-term storage for Google Code Project Hosting". code.google.com. Retrieved 2017-08-07.
  2. "Algorithms and Software for Knowledge Acquisition from Heterogeneous, Distributed Data - The INDUS Project". web.cs.iastate.edu. Retrieved 2017-08-07.
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