An Improved Search Engine by Semantic Web using Ontology

The internet contains vast amount of information that the search engines are able to provide search results that are based on page ranks. But the search results are not related to one particular users environmentThe main objective of this paper involves with search engine and search engine optimization methods. Here a new technique called as ontology search logs is introduced, which will be used for customized search logs according to the user define input. This application will be processed in any of the search engine. In this paper, a new system called as Semantic Search log Social Personalized Search is also proposed which would be able to provide results for search query that relates to a particular users environment, his area of interests, his likes and dislikes, the data the he/she might have found to be useful for him while searching. Social networks are the domain in which it could obtain such user oriented information, which could be used for providing personalized search results. Supervised learning technique is used to learn about the user based upon his interactions inside the system. This process can be able to make applicable for each and every registered user in this application. User can give their basic information in their profile and get benefits from their each and every search. When the user getting register with the system it creates an ontological profile, according to the profile created by the user and when he/she getting login into the social network and interacts with it the system updates his/her ontological profile based upon the interaction. The search provision can be finding out in their home page after they get login. When the user searches a keyword using the search engine inside the social network, it refers to the ontological profile of the user and displays the Personalized Search results. The system should be able to intelligently identify whether a search result has been useful to him or not and save it for his future reference when he searches for the same or similar keyword next time.