Title :
Information extraction and integration from heterogeneous, distributed, autonomous information sources - a federated ontology-driven query-centric approach
Author :
Castillo, Jaime A Reinoso ; Silvescu, Adrian ; Caragea, Doina ; Pathak, Jyotishman ; Honavar, Vasant G.
Author_Institution :
Dept. of Comput. Sci., Iowa State Univ., Ames, IA, USA
Abstract :
This paper motivates and describes the data integration component of INDUS (intelligent data understanding system) environment for data-driven information extraction and integration from heterogeneous, distributed, autonomous information sources. The design of INDUS is motivated by the requirements of applications such as scientific discovery, in which it is desirable for users to be able to access, flexibly interpret, and analyze data from diverse sources from different perspectives in different contexts. INDUS implements a federated, query-centric approach to data integration using user-specified ontologies.
Keywords :
data acquisition; data mining; distributed databases; query processing; autonomous information sources; data access; data analysis; data integration component; data interpretation; data-driven information extraction; distributed information sources; federated database; federated ontology-driven query-centric approach; heterogeneous information sources; information integration; intelligent data understanding system; user-specified ontologies; Application software; Artificial intelligence; Biological information theory; Biology; Computer science; Data mining; Decision making; Intelligent systems; Knowledge acquisition; Ontologies;
Conference_Titel :
Information Reuse and Integration, 2003. IRI 2003. IEEE International Conference on
Print_ISBN :
0-7803-8242-0
DOI :
10.1109/IRI.2003.1251412
