THE SEMANTIC SEARCH ON WEB USING ONTOLOGICAL RELATIONSHIPS WITH RANKING THE DOCUMENTS

Keywords

Information retrieval, Semantic search, semantic query, ontology;

Abstract

the search engines have become the most powerful tools for obtaining useful information scattered on the web and the current web Information Retrieval system retrieves relevant information only based on the keywords which is inadequate for that vast amount of data. The research on semantic search aims to improve traditional user query and retrieval of relevant information. The Semantic Web is an evolving development of the World Wide Web in which the meaning (semantics) of information and services on the web is defined, making it possible for the web to "understand" and satisfy the requests of people and machines to use the web content. The Elements of the semantic web are expressed in formal specifications that include Resource Description Framework (RDF), a variety of data interchange formats e.g. RDF/XML and notations (RDFS) and the Web Ontology Language (OWL) are intended to provide a formal description of concepts and relationships.The architecture takes as input a plain of keywords by the user and query is converted into semantic query with the help of domain ontology and discovers semantic relationships between the runtime. The relevant information for the semantic query is retrieved and ranked according to improved Semantic Annotation and Indexing algorithm. The performance analysis shows the proposed system can improve the accuracy and effectiveness for retrieving relevant web documents compared to the existing systems.