Fuzzy Logic A Soft Computing Approach For E-Learning: A Qualitative Review

E-learning model has been developed rapidly because of development in technology, mobile platform such as smart phone and pad etc. But due to low rate of completion of e-learning platform it is necessary to analyze behavior characteristics of online learners which enhance the quality of learning. This can be achieved by recommending suitable e-contents available in learning servers that are based on learning style, learning pattern, time, environment, psychology and mood of learners. All these factors are uncertain. In such case fuzzy logic and neural network approach of soft computing is desirable to use and helps to take decision for prediction of e-learning. The aim of this paper is to study development and work in e-learning, adaptive learning and web-based learning globally. Also study for to develop reliable and efficient solution for e-learners and e-content provider. This paper represent studies of learning style prediction, learning style model, learning system and analysis of related work in e-learning and web environments. This is review of previous research in e-learning prediction

A Role of Semantic Web and Ontology in Information Retrieval

Web Mining is an application of data mining which focuses on discovering relevant data from Web content. The Semantic Web describes a web as data rather than documents. It characterizes information in understandable manner moreimplicitly for humans and computers.It wasdeveloped with the help of Ontology, which is the pillar of the Semantic Web. The semantic Web depends on integration and use of semantic data, and sematic data is depends on ontology. Ontology can provide a common vocabulary, a grammar for publishing data, and can supply a semantic d data which can be used to preserve the Ontologies and keep them ready for inference. This also helps in personalized filtering mechanisms for users to consume relevant, interesting information from web sites. By combining web mining and sematic web, we can retrieve relevant data called as semantic web mining. This paper gives an overview of sematic web mining and their applications