KNOWLEDGE-BASED QUERY FORMULATION FOR INTEGRATED INFORMATION-SYSTEMS

Citation
Rd. Semmel et al., KNOWLEDGE-BASED QUERY FORMULATION FOR INTEGRATED INFORMATION-SYSTEMS, Johns Hopkins APL technical digest, 18(2), 1997, pp. 261-270
Citations number
16
Categorie Soggetti
Physics, Applied","Multidisciplinary Sciences
ISSN journal
02705214
Volume
18
Issue
2
Year of publication
1997
Pages
261 - 270
Database
ISI
SICI code
0270-5214(1997)18:2<261:KQFFII>2.0.ZU;2-2
Abstract
The U.S. Army, like many large organizations, relies upon heterogeneou s and distributed information systems for managing massive quantities of data. Formulating queries within these systems has been difficult b ecause of the underlying structural complexity of the associated datab ases. Formulating queries across these systems has been impossible bec ause of the additional lack of integration and interoperability. Build ing on work done by the Milton S. Eisenhower Research and Technology D evelopment Center in artificial intelligence and database systems, the Applied Physics Laboratory is collaborating with the U.S. Army Resear ch Laboratory to develop advanced capabilities to support automated qu ery formulation, conceptual modeling, and systems integration. In addi tion, a framework based on intelligent agents and distributed objects has been developed that will facilitate the fusing of new and legacy s ystems, interoperability, and the creation of intelligent interfaces.