Semantic Web Development Through Ontology Evolution

The ontology has been widely used in recent years in the field of Artificial Intelligence, computer and information science especially in domains such as, cooperative information systems, intelligent information integration, information retrieval and extraction, knowledge representation, and database management systems The continual need to be better and better, for a business system is becoming a prerequisite for surviving in the highly changing business world. Although changes encompass several dimensions of a business system (e.g. people, processes, technologies), most of them are reflected on its IT infrastructure. Ontology-based applications are subject to a continual change. Thus, to improve the speed and to reduce costs of their modification, there is a need for an efficient ontology evolution system and a process model that fulfils them. The ontology evolution process enable the customisation of the ontology-evolution process to the current need and ensures the consistency of the underlying ontology and all dependent artefacts and also offers advice to the user for continual ontology reengineering. The implementation of the second generation of the WWW, the so-called Semantic Web, has made the idea of the large-scaled ontology-based applications in a business context real. Ontologies have recently become a key technology for semantics-driven modelling. The explicit representation of the semantics of data through ontologies enables applications to provide a qualitatively new level of services, such as verification, justification, gap analysis, etc.