Back-end technology for high-performance knowledge-representation systems

Author

Hendler, James ; Stoffel, Kilian

Author_Institution

Dept. of Comput. Sci., Maryland Univ., College Park, MD, USA

Volume

14

Issue

3

fYear

1999

Firstpage

63

Lastpage

69

Abstract

PARKA-DB is a scalable ontology management system that uses relational database techniques and supports the large ontologies needed in medical database system applications (among others). The medical system lets doctors load information about their patients´ conditions (specifically microbiological data) into a hybrid ontology. The doctor uses pure ontological information to load a KB containing a very large number of assertions about the patient. PARKA-DB supports a frame based AI language that uses high performance and scalable computing techniques

Keywords

knowledge representation languages; medical expert systems; relational databases; KB; PARKA-DB; assertions; back-end technology; doctors; frame based AI language; high performance knowledge representation systems; hybrid ontology; large ontologies; medical database system applications; microbiological data; pure ontological information; relational database techniques; scalable computing techniques; scalable ontology management system; Artificial intelligence; Cities and towns; Concurrent computing; Databases; Internet; Intersymbol interference; Large scale integration; Memory management; Ontologies; Search engines;

fLanguage

English

Journal_Title

Intelligent Systems and their Applications, IEEE

Publisher

ieee

ISSN

1094-7167

Type

jour

DOI

10.1109/5254.769886

Filename

769886