Automatic identification of Granularity level of learning document

With energetic development of the Internet, especially the web page interaction technology, online learning object repositories have become more and more realistic and popular in the past ten years. These repositories enable sharing and reuse of learning materials by different users. This information background is needed for querying services to perform accurate queries for learning object retrieval. The granularity of learning objects is one among several metadata attributes that has a crucial impact on the ability to adapt, aggregate, and arrange content suiting the needs and preferences of the learner. This paper showcases our work on redefining the Granularity level, more suited towards personalization of learning document and its automatic extraction using Natural Language Processing approach and with the help of Domain ontology.