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

fYear

2003

fDate

27-29 Oct. 2003

Firstpage

183

Lastpage

191

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Reuse and Integration, 2003. IRI 2003. IEEE International Conference on

Print_ISBN

0-7803-8242-0

Type

conf

DOI

10.1109/IRI.2003.1251412

Filename

1251412