OWL and SWRL: Scope, Propensity and Future of Web Based Distributed Multi Agent Application

Abstract

The web is overloaded with data and most of the search available search engines accomplish their retrieval task syntactically. The Semantic Web however promotes avenue for the separately stored web data to be intelligently reasoned over during data retrieval. Intelligent systems are coupled around intelligent data retrieval, reasoning and inference making over a knowledge base. In this paper, we explore and present the scope and usability of OWL – Semantic web data repository – and SWRL, considering their relevance to the field of artificial intelligence. We also points out the trends in the development of ontology languages with emphases on Ontology Web Language (OWL). We propose that distributed mobile agents would largely influence the design of high performing web applications solving difficult problems. Furthermore, we show that efficiency of such multi agent systems may be realized by agglomerating nodes in nearness within the system. Finally, we highlight some ideas that reveal what the future of complex web applications stand to gain by using distributed agents which collectively perform a task.