Generalized Mongue-Elkan Method for Approximate Text String Comparison
Identifieur interne : 000967 ( Main/Exploration ); précédent : 000966; suivant : 000968Generalized Mongue-Elkan Method for Approximate Text String Comparison
Auteurs : Sergio Jimenez [Colombie] ; Claudia Becerra [Colombie] ; Alexander Gelbukh [Mexique] ; Fabio Gonzalez [Colombie]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2009.
Abstract
Abstract: The Mongue-Elkan method is a general text string comparison method based on an internal character-based similarity measure (e.g. edit distance) combined with a token level (i.e. word level) similarity measure. We propose a generalization of this method based on the notion of the generalized arithmetic mean instead of the simple average used in the expression to calculate the Monge-Elkan method. The experiments carried out with 12 well-known name-matching data sets show that the proposed approach outperforms the original Monge-Elkan method when character-based measures are used to compare tokens.
Url:
DOI: 10.1007/978-3-642-00382-0_45
Affiliations:
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<front><div type="abstract" xml:lang="en">Abstract: The Mongue-Elkan method is a general text string comparison method based on an internal character-based similarity measure (e.g. edit distance) combined with a token level (i.e. word level) similarity measure. We propose a generalization of this method based on the notion of the generalized arithmetic mean instead of the simple average used in the expression to calculate the Monge-Elkan method. The experiments carried out with 12 well-known name-matching data sets show that the proposed approach outperforms the original Monge-Elkan method when character-based measures are used to compare tokens.</div>
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