An index (plural: indexes) is a list of words or phrases (headings) and associated pointers (locators) to where useful material relating to that heading can be found in a document. Generally, the books consist such back indexes for minimizing the effort and time to search certain topic or word. Manually generated such back indexes have certain flaws. This paper describes the back-index-tool for the generation of books in machine readable format, which minimizes the effort involved in generation of back index of book manually, reducing the redundancy of words in the generated back index. The aim of the paper is to construct precise and complete back index for E-books.

Providing the right information to the right user at the right time at the right place is not an easy task. The voluminous information existing in the form of unstructured texts needs appropriate tools and aids to guide both document lists and end users utilizing them, and in this process indexing is seen as a tool. Generation of subject indexes assumes the availability of unstructured text books in compatible machine readable format obviously published with a front index. One cannot think of any release or publication without the table of contents. From the mentioned motivational perspective, the facility of computer-assisted subject indexing is in high demand in community repositories, especially for the readers as subject domain experts. These also emerge as facilities where automatic syntactically fetched keyword indexing services rendered by professional (amateur) indexers become inefficient due to the problems of obvious term ‘synonymy’ and term ‘polysemy’ (Hsinchun et al., 1998; and Yi-Ming et al., 1998). In computer science and information science, ontology formally represents knowledge as a set of concepts within a domain, using a shared vocabulary to denote the types, properties and interrelationships of those concepts (Gruber, 1993; and Raj Kumar and Prateeksha, 2014). With reference to such research and development, projects are performed in text mining realm to construct precise and complete back index for any book available in machine readable format.

Computer Sciences Journal, Back index, Typed dependency parser, Noun phrases, Noun phrase extraction.