Semantic Web and AI: Knowledge Representation and Reasoning

Abstract

Semantic Web and AI are two revolutionary technologies wherein the integration of both have led to a drastic change in knowledge representation & reasoning. This paper examines how the Semantic Web works in Integration with AI with regards to the aspects of knowledge representation and semantic reasoning as well as the issues of data sharing. We then examine how current methods employ the structured, semantically rich data of the Semantic Web to enable more intelligent applications with consideration of context. Pertaining to the mentioned methodologies of both fields, the reasoning mechanisms, ontology management, and the semantic inference techniques are explained. The paper offers an evaluation of the exiting and prospects of challenges connected to the presented Semantic Web application and develops that further, reaching toward the final idea of creating true artificial intelligence systems that think and reason more like human beings.