Implementation of Linked Data using Massive Open Online Courses

Linked Data involves web to create typed links between different sources of data. Source data may vary in location, size, subject-matter and how congruously it is structured. Links produced from this data create equality and define properties to make data easier to read for machines. Linked Data is relatively unexplored in the domain of education. Linked Up Challenge have surfaced to encourage innovative applications focused on open educational data Massive Open Online Courses or MOOCs are online courses accessible to anyone on the web. Many of institutions have joined in an archive to make education more accessible by synchronizing with MOOC providers such as Coursera and NPTEL Delivering course content through lecture videos as well as readings and problem sets, MOOCs encourage interactivity between professors and students around the world by way of discussion forums and graded assessments. For most information associated with their course catalog. This includes properties such as a courses title, instructor, and syllabus details. Although Coursera's course catalog data is easily accessible as JSON, there is no option to retrieve and use it in a Linked Data format such as the RDF .there is no Linked Data available for MOOCs or for ontology that represent properties unlike to MOOCs In order to incorporate MOOC data into the Linked Data cloud as well as demonstrate the potential of Linked Data when applied to education, we propose to (i) developed or extend an RDF ontology which denotes properties of MOOC .(ii)use ontology that generate Linked Data from different MOOC providers.