Volume 7 Number 4 (Aug. 2015)
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IJCEE 2015 Vol.7(4): 261-274 ISSN: 1793-8163
DOI: 10.17706/IJCEE.2015.7.4.261-274

Empirical Evaluation of Web Based Alias Extraction Techniques

Selvaperumal, Suruliandi, Dhiliphan Rajkumar
Abstract—Alias name extraction is the process of extracting surnames for the known name in the web. Alias names are useful in a wide range of processes like information retrieval, opinion mining and terrorist activities detection and so on. Owing to significance of the alias name extraction work, different techniques for web based alias name extraction and validation have been proposed. These methods use a range of techniques like Ranking SVM, Supervised classifiers, Lexical patterns and Latent semantic analysis etc. In this scenario, it is essential to compare these techniques and review its performances. In this work, different alias name extraction and validation techniques are compared. Experiments were conducted on Name alias data set. Experimental Results show that the feature based alias extraction technique that uses ranking SVM outclasses other alias extraction techniques.

Index Terms—Alias name extraction, information extraction, name disambiguation, web mining.

The authors are with the Department of Computer Science and Engineering, Manonmaniam Sundaranar University, Tirunelveli.

Cite:Selvaperumal, Suruliandi, Dhiliphan Rajkumar, "Empirical Evaluation of Web Based Alias Extraction Techniques," International Journal of Computer and Electrical Engineering vol. 7, no. 4, pp. 261-274, 2015.

General Information

ISSN: 1793-8163 (Print)
Abbreviated Title: Int. J. Comput. Electr. Eng.
Frequency: Quarterly
Editor-in-Chief: Prof. Yucong Duan
Abstracting/ Indexing: EI (INSPEC, IET), Ulrich's Periodicals Directory, Google Scholar, EBSCO, ProQuest, and Electronic Journals Library
E-mail: ijcee@iap.org

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