OAV-VVT Expert, an Active System for Verification and Validation of Knowledge Base Using OAV Knowledge Representation
Abstract
In this paper, we present an active expert system (OAV-VVT expert) to verify and validate the knowledge base (KB). Our work is based on new approach to representation and reasoning techniques, Ex-OAV KB, based on Object-Attribute-Value (OAV) knowledge representation. All common issues of verification and validation are considered in OAV-VVT expert. OAV-VVT expert can be either used during the building of knowledge base or refinement of existing KB. OAV-VVT expert is an expert system with reasoning and explanation mechanisms. It is application and knowledge representation independent. OAV-VVT expert improves the performance of V&V phase in building the knowledge base by checking unreference attribute values and illegal attribute values, during transforming the existing KB to ExOAV KB. All necessary algorithms to transform different knowledge representation techniques have been presented in this paper to justify that the Ex-OAV KB is feasible.
Keywords
verification and validation, knowledge base, knowledge representation, OAV triple, expert systems, AI systems
