Title :
The CBR for Solving Complex Problems Based on Ontology
Author :
Mei-xiang Wu ; Feng Li ; Shun-Liang Huang
Author_Institution :
Sch. of Manage., Shandong Univ. of Technol., Zibo, China
Abstract :
Ontology is a normative explanation on formal common concept and it is a grade conceptual description about the given object and its relationship. In view of the difficulty of the problem representation, simulating the thinking circumstance of the expert solving problem, a new CBR for solving complex problems based on ontology is proposed in this paper. Besides that, this paper analyses the key technologies about solving problem based on ontology and CBR.
Keywords :
case-based reasoning; ontologies (artificial intelligence); CBR; case-based reasoning; grade conceptual description; normative explanation; ontology; Accreditation; Brain modeling; Databases; Decision making; Engineering management; Humans; Information analysis; Ontologies; Problem-solving; Technology management;
Conference_Titel :
Computational Intelligence and Software Engineering, 2009. CiSE 2009. International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-4507-3
Electronic_ISBN :
978-1-4244-4507-3
DOI :
10.1109/CISE.2009.5363953
