Informatics Publishing Limited

Abstract

 With the rising trend in Information Technology, Web Information Retrieval is picking up its vitality step by step. As have experience in making use of well-known search engines consistently, the Search Engine Results Page (SERP) returned is truly excessively large and nearly irrelevant. Need to continuously pass on to the “next page” to acquire the web pages which the users really need. The reason is that, when the user wants to search information in the Web, the search engine abstracts the information to the keyword combination and afterward submits it. The relationship between keywords is clear to the users but not to the search engines. The Semantic Web is an evolution of the current Web that represents information in a machine-readable format, while maintaining the human-friendly mark up language representation and thereby avoiding key word searching. This research work propose a Web Service Architecture to cater the need of distributed environment whereby the link content and page content of the SERP are checked for the given user query keywords, so that the more relevant pages are retrieved and then discusses key techniques about extracting domain concepts, interrelationships between concepts-keywords and automatically constructing classification system in ontology learning using semantic technologies such as annotation, RDF and SPARQL queries. 

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