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
- ↑ "Google Code Archive - Long-term storage for Google Code Project Hosting." (in en). https://code.google.com/archive/p/indusintegrationframework/.
- ↑ "Algorithms and Software for Knowledge Acquisition from Heterogeneous, Distributed Data - The INDUS Project" (in en). http://web.cs.iastate.edu/~honavar/indus.html.
External links
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