Automatic Ontology Extraction from Heterogeneous Documents for E-Learning Applications

  • J. Jeslin ShanthamalarEmail author
  • C. R. Rene Robin
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 243)


In this paper, we present our approach to build domain ontology for e-learning purposes from heterogeneous documents by using the automatic extraction technique. Ontologies have been frequently employed in order to solve problems for shared distributed knowledge and the effective integration of information across many applications. The process of ontology building is a very lengthy and error-prone work. Therefore, a number of research studies to build ontologies semi-automatically from existing documents have been developed. This paper proposes a novel method which is used to build ontology, using the existing knowledge base of heterogeneous documents for complex application domains without the need of human intervention. This method improves the system performance and accuracy and reduces the time for the ontology building process from a collection of documents.


E-learning Information extraction Automatic extraction Domain ontology 


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Copyright information

© Springer India 2014

Authors and Affiliations

  1. 1.Department of Computer Science and EngineeringJerusalem College of EngineeringChennaiIndia

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