ISSN: 2278 – 1323 International Journal of Advanced Research in Computer Engineering & Technology Volume 1, Issue 5, July 2012 All Rights Reserved © 2012 IJARCET 185 SEMANTIC BASED LEARNING APPROACH IN EDUCATION SYSTEM Dr Shikha Singh , Gaurav Jindal Abstract- Extensive Research works in the field of knowledge base Learning are represented by a broad spectrum of applications .Education system transform from class room system to E- Learning system which are ranged from virtual classrooms to remote courses or distance learning. E Learning system offer obvious advantages for learners by making access to educational resources very fast; just-in-time and relevance, at any time or place. Our research is based on proposal of usage of semantic model in e-learning system. Semantic search enables better possibilities for navigating through the cyberspace and accessing its contents. This paper presents an approach of semantic model in implementation for E-Learning. Focus of this approach is on Ontology based semantic model for its content, context and structure of the learning materials and thus provides flexible and personalized access to these learning. Keywords- Education system, semantic web, Ontology, RDF, E- Learning I .INTRODUCTION New challenges arise in the process of learning system. Virtual learning communities (VLCs) are information technology based cyberspaces in which individual and groups of geographically dispersed learners and providers of knowledge to accomplish their goals of learning implement collaborative learning. E-Learning is a cross discipline artifact that spans e.g., philosophy, psychology, pedagogy, anthropology, artificial intelligence (e.g., Artificial Intelligence in Education (AIED)) and human computer interaction (HCI) [ 1].E-Learning is a critical support mechanism for educational institutions to grow the performance of their students, teachers, as well as useful for organizations to enhance the performance of their employees. E-learning provides easy access to learning resources just in time, anywhere via data repository of learning resources. The advancement of semantic web and e-learning technologies may provide more opportunities to achieve the goal of collaborative knowledge sharing. It would also facilitate teachers to share their teaching material, tools, and experiences with others through the medium of internet and web technologies. Earlier the mantra of the information age had been ―More the information, better it is‖. But unrelated information huddle when we search the web .So the Tim Burner Lee proposed the solution of this problem with the vision of Semantic web or Web 3.0. Among other things, the semantic web makes information more meaningful to people by making it more understandable to machines. Consider a simple example. If you want to know Faculty mailing address of any institute, with web 2.0 you need to go to home page of institute and root around until you find it. That’s because the current coding system used to build web pages, largely HTML, displays information without identifying it in any meaningful way. That is, mailing address of faculty is not coded as ―an address,‖ it is simply presented as a series of characters on the screen. Contrast this with a database about you may have which contains a specific column called ―faculty mailing address.‖ Even if your database included millions of entries, locating the faculty email address is easy. Web 3.0 is the transformation of information on web from ―only display information‖ to ―meaningful information‖[4], by tagging information with descriptors like ―mailing address.‖ Further, it allows users to find relationships between tagged information using inference rules and data organizational tools called ―ontologies‖ that provide logic and structure to the information embedded in web pages. As a result, machines can do a lot of the information grunt work currently required of humans. When it comes to a web search, for example, the semantic web makes a reasonable pass at collating, synthesizing, and cross-referencing the results for you. It does this by employing software agents that can locate and combine information from many sources to build meaningful information collages. Simply tell your agent the focus of your interest—whether a person, subject, activity, question, or whatever—and set it to roam the web, finding and distilling information and exchanging information with other agents. Ultimately, the goal of Web 3.0 is, in a phrase, data integration. Because the semantic web understands the concept of a mailing address, it can relate my address to other web-defined concepts like walking distance, postal rates, climate, or driving directions to the nearest airport. Thus, if I ask my agent to help me prepare for a trip to the Mohali, it can make assumptions about the clothes and flights I need, and so on. Because I live in Delhi, it might tell me to order clothing online soon because it takes longer to get here. It may even tell me the names of friends (who have made themselves semantically available) who have visited the Mohali. In web 2.0 using XML my address can be understand as an address but, this understanding is not shared with other