I.J. Education and Management Engineering, 2018, 5, 31-39 Published Online September 2018 in MECS (http://www.mecs-press.net) DOI: 10.5815/ijeme.2018.05.04 Available online at http://www.mecs-press.net/ijeme An Efficient Approach for Web Mining using Semantic Web Md. Motiur Rahman a , Ferdusee Akter a a Chittagong Veterinary and Animal Sciences University, Chittagong, Bangladesh Received: 19 March 2018; Accepted: 08 June 2018; Published: 08 September 2018 Abstract The volume of data on the Web is increasing rapidly. The rapidly increased data in Web have brought an urgent need to develop a method to organize that data. At the same time, the level of user expectation of getting précised data is increased highly. Hence, it is tough to satisfy the user satisfaction through the existing system. In this paper, we proposed a model to organize the large volume of data over the Web and retrieve the more relevant data to the user. As an implementation of the proposed model, we built two demo search engine (one for RDF based semantic searching and another for existing searching). We use two different sets of data for testing. For every set of data, the RDF based searching returns more précised data than existing searching. The efficiency of the proposed model is better than the existing searching strategies. In the proposed model, we considered both traditional web and RDF based ontology library to organize the data effectively. Index Terms: RDF, Semantic Web, Web Ontology, Web Mining. © 2018 Published by MECS Publisher. Selection and/or peer review under responsibility of the Research Association of Modern Education and Computer Science. 1. Introduction Semantic web technologies were primarily designed before the rise of the Web 2.0 technologies for organizing large volumes socially contributed content. The World Wide Web is mostly accessible to humans, whereas machines have a very sketchy knowledge of its content [1]. The main vision of the semantic web is that the content available on the web or offered by the web should be understandable by computers and can exploit the standard meaning. The large volume of linked data available on the web has made a clear advert that in the near future, a web representation may hold the human readable and machine understandable information[1- 2]. Semantic web technology will operate in two major ways: it adds structure to user data or organizes the user data using web mining and connects the existing storage of data that describe the Web 2.0 landscape [3]. Web * Corresponding author. E-mail address: motiur@cvasu.ac.bd, ferdusee2008@gmail.com