A SEMANTIC BASED APPROACH FOR KNOWLEDGE DISCOVERY AND ACQUISITION FROM MULTIPLE WEB PAGES USING ONTOLOGIES

ABSTRACT

The data from internet are dispersed in multiple documents or web pages. Most of them are not properly structured and organized. It becomes necessary to organize these contents in order to improve the search results by increasing the relevancy. The semantic web technologies and ontologies play a vital role in information extraction and new knowledge discovery from the web documents. This paper suggests a model for storing the web content in an organized and structured manner in RDF format. The information extraction techniques and the ontologies developed for the domain together discovers new knowledge. The paper also proves that the time taken for inferring the new knowledge is also minimal compared to manual effort when semantic web technologies are used while developing the applications.