An evaluation of name matching techniques.

Peng, Taoxin, Li, Lin and Kennedy, Jessie (2011) An evaluation of name matching techniques. In: Proceedings of 2nd Annual International Conference on Business Intelligence and Data Warehousing. GST. ISBN 978-981-08-9266-1

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Abstract—There is a growing awareness that the high quality of string matching is a key to a variety of applications, such as data integration, text and web mining, information retrieval, search engine. In such applications, matching names is one of the popular tasks. There are a number of name matching techniques available. Unfortunately, there is no existing name matching technique that performs the best in all situations. Different techniques perform differently in different situations. Therefore, a problem that every researcher or a practitioner has to face is how to select an appropriate technique for a given dataset. This paper analyzes and evaluates a set of popular name matching techniques on several carefully designed different datasets. The experimental comparison confirms the statement that there is no clear best technique. Some suggestions have been presented, which can be used as guidance for researchers and practitioners to select an appropriate name matching technique in a given dataset.

Item Type: Book Section
ISBN: 978-981-08-9266-1
Additional Information: paper presented at 2nd Annual International Conference on Business Intelligence and Data Warehousing BIDW 2011 6/27/2011 - 6/28/2011 Hotel Fort Canning, Singapore
Uncontrolled Keywords: String matching; data integration; data mining; information retrieval; name matching techniques;
University Divisions/Research Centres: Edinburgh Napier University, Institute for Informatics and Digital Innovation
Dewey Decimal Subjects: 000 Computer science, information & general works > 000 Computer science, knowledge & systems > 004 Data processing & computer science
Library of Congress Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Item ID: 4994
Depositing User: Computing Research
Date Deposited: 06 Mar 2012 14:54
Last Modified: 22 Oct 2013 14:22

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