Content Based Search Engine for E-Books

The learning strategy of today's generation is changing from subject oriented learning to topic-oriented learning. Due to ease of access to online content, students and teachers prefer E-books. However, referring multiple E-books for a particular topic is difficult and the content obtained is so large that it is virtually impossible to differentiate which content is relevant. Also, it is widely recognized in the digital Information Retrieval community that keyword-based search engine does not work well when the user's needs are not well-defined. Hence, a search engine is required to explore the content of E-books. This paper proposes a `Content Based Search Engine for E-Books' where E-books are indexed and the search results are clustered according to frequent phrases. The clustering of search results allows the search engine to understand the semantics behind user's query. In comparison with other existing search engines, this paper focuses on developing an improved search engine to explore the content of E-books. The results show that a particular topic can be searched across multiple E-books and can be clustered based on its content.