Authors:
Zhiwen Wu
and
Ahmed Y. Tawfik
Affiliation:
School of Computer Science, University of Windsor, Canada
Keyword(s):
Chance discovery, knowledge base, relevance, planning, ontology.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence and Decision Support Systems
;
Biomedical Engineering
;
Data Engineering
;
Enterprise Information Systems
;
Health Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Management
;
Ontologies and the Semantic Web
;
Society, e-Business and e-Government
;
Verification and Validation of Knowledge-Based Systems
;
Web Information Systems and Technologies
Abstract:
This paper argues that chances (risks or opportunities) can be discovered from our daily observations and background knowledge. A person can easily identify chances in a news article. In doing so, the person combines the new information in the article with some background knowledge. Hence, we develop a deductive system to discover relative chances of particular chance seekers. This paper proposes a chance discovery system that uses a general purpose knowledge base and specialised reasoning algorithms.