Journals Proceedings

Abstract

The Semantic Web aims at machine agents that thrive on explicitly specified semantics of content in order to search, filter, condense, or negotiate knowledge for their human users. A core technology for making the Semantic Web happen, but also to leverage application areas like Knowledge Management and E-Business, is the field of Semantic Annotation, which turns human-understandable content into a machine understandable form.The generation of information on the web is increasing exponentially. The main need of web users is to access subject relevant and well-defined meaningful information. Semantic Web will bring structure to the meaningful content of Web pages, creating an environment where software agents roaming from page to page can readily carry out sophisticated tasks for users. This study is, after analyze of Semantic Web Application and Web ontology characteristics, established inference-based web ontology that use expression of Description Logic and verified inference that established Web Ontologies. We can select the level of ontology from Meta-data, Domain to Instance Ontologies. In computer science and information science, ontology is a formal representation of a set of concepts within a domain and the relationships between those concepts. It is used to reason about the properties of that domain, and may be used to define the domain. Keyboard Semantic web, RDF, Ontology,