semantic web technology and ontology designing for e-learning environments

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* Semantic Web Technology and Ontology designing for e-Learning Environments - By Robin Khanna

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*Semantic Web Technology and Ontology

designingfor e-Learning Environments

- By Robin Khanna

*CONTENTS

*Introduction

*The Semantic Web

*RDF

*Ontology

*SPARQL

*Limitation OF Current E-Learning Environment

*Proposed E-Learning Environment Using SWT

*Conclusion

*INTRODUCTION

- Web documents are arranged in an unstructured manner on web.

- Retrieving information from WEB 2.0 has become complex.

- SWT(Semantic Web Technology) solves the problem

- SWT uses RDF(Resource Description Framework) data model to store the information

*THE SEMANTIC WEB

*Follows the structured way for keeping the information.

*Makes possible information to share & reuse.

*Enables a web talking to machines.

*Uses certain techniques like Ontology, RDF’s, XML & SPARQL

*RDF

Resource Description Framework- Graph data model(similar to relation data model)

- Organizes the data into more meaningful way.

- Data things are organized with its attribute via links in the form of relation.

- Consists of a triple.

RDF Data Model

*ONTOLOGY

*Explicit specification of conceptualization.

*Helps to create semantic web applications to share & reuse information

* SPARQL

Simple Protocol And RDF Query Language - SQL like RDF query languages for databases.

- Able to retrieve and manipulate for any data stored in RDF format.

*LIMITATIONS OF CURRENT E-LEARNING

ENVIRONMENT

*Fails to supply learning resources according to the learner’s needs.

*Produces irrelevant results which are not match to learner’s query and interest.

*Learner spends more time to categorize the web results which he/she actual require to learn

*PROPOSED E-LEARNING ENVIRONMENTS USING

SWT

*Identify the needs, interest, media to learn i.e. audio, video, PDF and other, background, profile, knowledge level, search history of the e-learner before delivering the e-learning resource results to e-learner.

*Exactly identifies the actual requirements of e-learner and produce only such relevant learning resources to e-learner.

*The important thing is in this approach is that discovering, identifying, categorizing and presenting the relevant results to e-learner is performed by the machines not the human.

*ONTOLOGY DEVELOPMENT FOR

PROPOSED WORK

*Ontology discuss here is developed in the Protégé tool.

*It is freely available, open source, having a great set of plug-ins, GUI based and also popular.

Fig. shows the ontology building for proposed e learning environments, which has three major classes Learner, Learning Objects and University. Learner class contains three subjects like student, teaching staff and non teaching staff. Learning Objects class having number of subjects like Question bank, assignment, material, Lab manual and many more. And finally the University class having the four subjects like department Engineering, Computer Science, Management and Pharmacy.

Fig. represents the object property assigned to various subjectsof different classes.

Fig. is facility of protégé that showsthe visual representation of the different classes createdunder the proposed e-learning environments.

*CONCLUSION

*The proposed research work solve the limitation of current e-learning environment by providing most relevant learning resources to e-learner quickly. A learner need not require to discover, identify and categorize the learning resources which are provided by the proposed e-learning environment. Because the previous e-learning approach work on the predefined algorithm and software program, they are not enough powerful to understand the learner needs and requirements dynamically.

*THANK YOU