Authors:
Steven B. Kraines
and
Weisen Guo
Affiliation:
The University of Tokyo, Japan
Keyword(s):
Knowledge representation, Ontology, Semantic Search, Domain knowledge, Knowledge reuse, Failure knowledge.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Communication, Collaboration and Information Sharing
;
Intelligent Information Systems
;
KM Strategies and Implementations
;
Knowledge Management and Information Sharing
;
Knowledge-Based Systems
;
Metadata and Structured Documents
;
Symbolic Systems
;
Tools and Technology for Knowledge Management
Abstract:
In order to increase the effectiveness of sharing and reusing knowledge about failures, we have applied the expert knowledge ontology-based semantic search system, EKOSS, to the “failure knowledge database”. An ontology based on description logics is used as a formalized knowledge representation language for creating semantic statements describing 212 of the JST failure cases. Using the EKOSS reasoner, the similarity be-tween a search statement giving the conditions of a new project or project design and the semantic statements describing failure cases can be quantified by inferring specific semantic relationships between entities involved in the case. The corpus of semantic statements is described, and results of applying the EKOSS semantic search to the semantic statements are analyzed. Finally, the effectiveness of the SCINTENG ontology for expressing the underlying failure mechanisms of the cases is discussed.