Automatic Reference Tracking

View Sample PDF

Author(s): G.S. Mahalakshmi (Anna University, Chennai, India)and S. Sendhilkumar (Anna University, Chennai, India)
Copyright: 2009
Pages: 17
Source title: Handbook of Research on Text and Web Mining Technologies
Source Author(s)/Editor(s): Min Song (New Jersey Institute of Technology, USA)and Yi-Fang Brook Wu (New Jersey Institute of Technology, USA)
DOI: 10.4018/978-1-59904-990-8.ch029

Keywords: Data Mining / Data Mining and Databases / Information Science Reference / Library & Information Science

Purchase

View Automatic Reference Tracking on the publisher's website for pricing and purchasing information.

Abstract

Automatic reference tracking involves systematic tracking of reference articles listed for a particular research paper by extracting the references of the input seed publication and further analyzing the relevance of the referred paper with respect to the seed paper. This tracking continues recursively with every reference paper being assumed as seed paper at every track level until the system finds any irrelevant (or far relevant) references deep within the reference tracks which does not help much in the understanding of the input seed research paper at hand. The relevance is analysed based on the keywords collected from the title and abstract of the referred article. The objective of the reference tracking system is to automatically list down closely relevant reference articles to aid the understanding of the seed paper thereby facilitating the literature survey of the aspiring researcher. This paper proposes the system design and evaluation of automatic reference tracking system discussing the observations obtained.

The IRMA Community

Research IRM

Automatic Reference Tracking

Purchase

Abstract

Related Content

IRMA Sponsors