Ontology based semantic query suggestion for movie search

Web contains millions and millions of documents and is useful for the users who want to search information regarding education, business, entertainment, healthcare, geography etc... Searching such information is easy using various search engines but searching relevant information is a challenging task. This can be achieved by query suggestion which aims to improve the efficiency of a user's web search by suggesting alternatives to a user's initial query. User always submits keyword-based queries to the search engine to search the required information. This leads to ambiguity. In the proposed work, alternate queries related to the user query are extracted from the ontology using various relationship types. The extracted queries are suggested alternative to the user's initial query. Since the extracted queries represent the concepts related to the user query, more relevant documents are retrieved.