Title: Comparative evaluation of ontology-based Automatic Reference Tracking (ART)

Authors: G.S. Mahalakshmi, S. Sendhilkumar, Alagu Irulappan, Preethan Mirinda, M.H. Gnanasekaran

Addresses: Department of Computer Science and Engineering, Anna University, Chennai, Tamilnadu, India. ' Department of Computer Science and Engineering, Anna University, Chennai, Tamilnadu, India. ' Department of Computer Science and Engineering, Anna University, Chennai, Tamilnadu, India. ' Department of Computer Science and Engineering, Anna University, Chennai, Tamilnadu, India. ' Department of Computer Science and Engineering, Anna University, Chennai, Tamilnadu, India

Abstract: Automatic Reference Tracking (ART) involves systematic and recursive tracking of bibliographic reference articles listed under the bibliography section of a particular research article. Automatic tracking is done by recursively extracting the references listed at the tail end of the input seed publication and further analysing the relevance of the extracted bibliographic reference listing with respect to the seed publication. Based on the relevance, the bibliographic research article is downloaded online. The objective is to automatically identify closely relevant reference articles, thereby facilitating the literature understanding of the aspiring researcher. In this paper, we try to address the issue of relevance-based ART in detail, with explanations on ontology-based semantic relevance computations for two domains: Operating Systems (OSs) and Computer networks (Comp n/ws). The results substantiate the claim of using domain ontology for various reasons, which are summarised in the paper.

Keywords: information retrieval; bibliographies; domain ontology; comparative evaluation; automatic reference tracking; systematic tracking; recursive tracking; bibliographic references; journal articles; seed publications; semantic relevance; literature searching; researchers; operating systems; computer networks; virtual organisations; web based organisations; online organisations; open source intelligence; web mining; world wide web; internet.

DOI: 10.1504/IJNVO.2011.037165

International Journal of Networking and Virtual Organisations, 2011 Vol.8 No.1/2, pp.142 - 157

Published online: 30 Nov 2010 *

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