• Roshankumar Pradhan
• Kaushal Tajane
• Akash Yadav
• Prof. Sonali Mane

Inspired by vast applications of data graph and the ever increasing demand in education domain, we would propose a system, to automatically construct Concept graph for education domain. Concept graph is an integrated information repository that interlinks heterogeneous data from different domains. By leveraging on heterogeneous data (e.g., pedagogical data and learning assessment data) from the education domain, this technique first extracts concepts of subjects or courses, and so identifies the tutorial relations between concepts. More specifically, it adopts the Wikipedia web page crawling on pedagogical data to extract instructional concepts, and employs comparison between two chapters of the subject input data to spot the relations with educational significance. We detail all the above efforts through an exemplary case of constructing a demonstrative concept graph for a selected subject, where the educational concepts and their prerequisite relations are derived from curriculum standards and concept based performance data of scholars. It would not only be helpful in the Education sector but anywhere where learning is a task.

Concept Graph, Prerequisite relation, Knowledge graph, Educational Domain, Text Mining

"Construction of Concept Graph for Education Domain ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 4, page no.1780-1785, April-2020, Available :http://www.jetir.org/papers/JETIR2004442.pdf

"Construction of Concept Graph for Education Domain ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 4, page no. pp1780-1785, April-2020, Available at : http://www.jetir.org/papers/JETIR2004442.pdf