Semantic Information Retrieval Using Ontology in University Domain

Today’s conventional search engines hardly do provide the essential content relevant to the user’s searchquery. This is because the context and semantics of the request made by the user is not analyzed to the fullextent. So here the need for a semantic web search arises. SWS is upcoming in the area of web searchwhich combines Natural Language Processing and Artificial Intelligence. The objective of the work donehere is to design, develop and implement a semantic search engine- SIEU(Semantic InformationExtraction in University Domain) confined to the university domain. SIEU uses ontology as a knowledgebase for the information retrieval process. It is not just a mere keyword search. It is one layer above whatGoogle or any other search engines retrieve by analyzing just the keywords. Here the query is analyzedboth syntactically and semantically. The developed system retrieves the web results more relevant to theuser query through keyword expansion. The results obtained here will be accurate enough to satisfy therequest made by the user. The level of accuracy will be enhanced since the query is analyzed semantically.The system will be of great use to the developers and researchers who work on web. The Google results arere-ranked and optimized for providing the relevant links. For ranking an algorithm has been applied whichfetches more apt results for the user query