Rule based autonomous citation mining with TIERL

Muhammad Tanvir, Afzal and Maurer, Hermann and Balke, Wolf-Tilo and Narayanan, Kulathuramaiyer (2006) Rule based autonomous citation mining with TIERL. Journal of Digital Information Management, 8 (3). pp. 196-204.

[img] PDF
Rule_based_Autonomous_Citation_Mining_with_TIERL.pdf
Restricted to Registered users only

Download (1MB)

Abstract

Citations management is an important task in managing digital libraries. Citations provide valuable information e.g., used in evaluating an author’s influences or scholarly quality (the impact factor of research journals). But although a reliable and effective autonomous citation management is essential, manual citation management can be extremely costly. Automatic citation mining on the other hand is a non-trivial task mainly due to non-conforming citation styles, spelling errors and the difficulty of reliably extracting text from PDF documents. In this paper we propose a novel rule-based autonomous citation mining technique, to address this important task. We define a set of common heuristics that together allow to improve the state of the art in automatic citation mining. Moreover, by first disambiguating citations based on venues, our technique significantly enhances the correct discovery of citations. Our experiments show that the proposed approach is indeed able to overcome limitations of current leading citation indexes such as ISI Web of Knowledge, Citeseer and Google Scholar.

Item Type: E-Article
Uncontrolled Keywords: citation mining, digital libraries, Universiti Malaysia Sarawak, Universiti Malaysia Sarawak, UNIMAS, research, IPTA, education, universiti, university, kuching, samarahan, sarawak, malaysia
Subjects: T Technology > T Technology (General)
Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science
Z Bibliography. Library Science. Information Resources > Z665 Library Science. Information Science
Divisions: Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology
Depositing User: Karen Kornalius
Date Deposited: 13 Jan 2014 06:40
Last Modified: 12 Apr 2016 06:43
URI: http://ir.unimas.my/id/eprint/542

Actions (For repository members only: login required)

View Item View Item