Ontology-based relevance analysis for automatic reference tracking

Authors:
Mahalakshmi G. Suryanarayanan;Sendhilkumar Selvaraju;Alagu Irulappan;Preethan Mirinda; Gnanasekaran
Affiliations:
Department of Computer Science and Engineering, Anna University, Guindy, Chennai, India.;Department of Computer Science and Engineering, Anna University, Guindy, Chennai, India.;Department of Computer Science and Engineering, Anna University, Guindy, Chennai, India.;Department of Computer Science and Engineering, Anna University, Guindy, Chennai, India.;Department of Computer Science and Engineering, Anna University, Guindy, Chennai, India
Venue:
International Journal of Computer Applications in Technology
Year:
2009

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Abstract

Automatic reference tracking involves recursive tracking of bibliographic references listed under the 'References' section of any research article. The objective of reference tracking is to aid the research of the scholars. Therefore, analysing the relevance of the tracked publication with respect to the seed paper is of utmost importance. This paper tries to address the issue of ontology-based relevance analysis of research publications. In comparison, this experiment attempts to calculate the relevance based on 'WordNet'. The observations substantiate the claim of using domain ontology instead of 'WordNet' for various reasons summarises in the paper.