An accurate toponym-matching measure based on approximate string matching

Approximate string matching (ASM) is a challenging problem, which aims to match different string expressions representing the same object. In this paper, detailed experimental studies were conducted on the subject of toponym matching, which is a new domain where ASM can be performed, and the creatio...

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Veröffentlicht in:Journal of information science Jg. 42; H. 2; S. 138 - 149
1. Verfasser: Kilinc, Deniz
Format: Journal Article
Sprache:Englisch
Veröffentlicht: London, England SAGE Publications 01.04.2016
Bowker-Saur Ltd
Schlagworte:
Approximate string matching
Computer science
Datasets
Graphs
Information retrieval
Languages
Matching
Names
Phases
Recall
Retrieval
Sentences
Similarity
String matching
Strings
Studies
Toponymy
Approximate string matching
geographic information retrieval
toponym matching
ISSN:0165-5515, 1741-6485
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Zusammenfassung:Approximate string matching (ASM) is a challenging problem, which aims to match different string expressions representing the same object. In this paper, detailed experimental studies were conducted on the subject of toponym matching, which is a new domain where ASM can be performed, and the creation of a single string-matching measure that can perform toponym matching process regardless of the language was attempted. For this purpose, an ASM measure called DAS, which comprises name similarity, word similarity and sentence similarity phases, was created. Considering the experimental results, the retrieval performance and system accuracy of DAS were much better than those of other well-known five measures that were compared on toponym test datasets. In addition, DAS had the best metric values of mean average precision in six languages, and precision/recall graphs confirm this result.
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ISSN:0165-5515
1741-6485
DOI:10.1177/0165551515590097