Keyword based semantic web services composition: An approach for E-Content preparation

Artificial Intelligence and web when amalgamated, it may produce miracle in terms of semantic web and its one of the important application is in E-Learning. E-learning works efficiently only when E-Content preparation is need based, customizable and on-demand, preparation is real-time, searchable through keyword/s. This paper describes development of a methodology for rule based customizable e-content/e-book preparation from existing available contents on a selected topic/topics, based on a particular keyword. This may be a holistic approach towards development of concise digital library on selected topic/topics. We use Protégé as a tool to demonstrate this approach. Using protégé we created an Ontology of Ebooksearch and SWRL Rules to extract desired paragraph (containing keyword) and after combining different paragraphs from various eBooks we get desired content.