KNOWLEDGE REPRESENTATION AND REASONING USING STANDARD WEB LANGUAGES FOR RISK ANALYSIS

Semantic Web is a future vision of the Web by which information is given explicit meaning, making it easier for machines to automatically process and integrate information available on the Web [7]. It is an effort that has been going on in the W3C to provide richer and explicit descriptions of web resources. In this paper we propose a generic tool for building and executing risk assessment knowledge bases modeled using the CommonKADS methodology. For the interoperability purpose, the application domain knowledge is represented using the two Web standard languages: (i) Web Ontology Language (OWL) for representing ontology and (ii) Semantic Web Rule Language (SWRL) for representing rules. The proposed tool contains three main components: knowledge-base editor, which is used for editing and managing the domain knowledge (Ontology, and rules), transformer, which is used for rules conversions (SWRL rule format into XML format), and reasoner, which is responsible for the reasoning process, justifications of the results and report writing The proposed tool is tested and validated by implementing a case study for risk assessment for construction projects in an insurance company in Egypt.