Implementing Semantics Using Fuzzy Ontology

Educational data mining is a fast and non linear process, which is now widely applied in distributed and dynamic environments such as on the world wide web. Semantic matching is the important problem in educational mining. In this research work, a framework for semantic matching that is used to identify the growth of students dynamically and implemented. In order to generate semantic matching the input text is divided into tags using tag generator. The tags are given to filter word remover in order to perform effective filter word deductions and parts of voice recognizer. Semantic generator is generated based on input tags. Temporal and inverse temporal are computed and then single value is calculated. Educational data mining has proved to be an effective way of delivering materials to previous unreachable students under previously impossible circumstances with previous unavailable access and presentation methods. The success stories of e-learning conferences and e-learning community speak for the glory. Educational data mining facilitate adaptive learning such that instructors can dynamically revise and deliver instructional materials in accordance with learner's current progress. In general,adaptive teaching and learning refers to the use of what is known about learners, a priority through interactions, to alter how a learning experience unfolds, with the aim of improving learner's success and satisfaction.