Naslov
Ontology learning in knowledge-management system

Autori
Bevanda, V

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Annals of DAAAM for 2004 & Proceedings of the 15th International DAAAM Symposium: INTELLIGNET MANUFACTURING & AUTOMATION: GLOBALISATION - TECHNOLOGY - MEN - NATURE / Katalinić, B. - Beč : DAAAM International Vienna, 2004, 35-36

ISBN
978-3-901509-42-1

Skup
15th International Symposium of the Danube-Adria- Association-for-Automation-and-Manufacturing

Mjesto i datum
Beč, Austrija, 03.11.2004. - 06.11.2004

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
knowledge management system ; ontology ; inductive reasoning ; ontology learning

Sažetak
Knowledge-management systems (KMS) use ontology as an abstract model of some phenomenon. explicitly defined machine processible and accepted by a specific domain group of individuals Development and maintenance of ontology requires continual effort to evolve the ontology over time We think that these processes could take advantage of experiences with real-world knowledge-based application ; We explore the possibilities of inductive reasoning by Doctus knowledge based system to produce the most informative attribute and rules in the domain ontology and in that way enable ontology learning in KMS.

Izvorni jezik
Engleski

Znanstvena područja
Ekonomija, Informacijske i komunikacijske znanosti

POVEZANOST RADA