A Case-Based Approach for Easing Schema Semantic Mapping

Emmanuel Malherbe; Thomas Iwaszko; Marie-Aude Aufaure

doi:10.1007/978-3-319-24586-7_16

Conference papers

A Case-Based Approach for Easing Schema Semantic Mapping

Emmanuel Malherbe ¹ Thomas Iwaszko ^{2, 3} Marie-Aude Aufaure ^{2, 3}

1 Frec'n'sys SASU - Frec'n'sys SASU

2 MICS - Mathématiques et Informatique pour la Complexité et les Systèmes

3 MAS - Mathématiques Appliquées aux Systèmes - EA 4037

Abstract : Given two text schemas, how can one map each item from the first schema to an item of the second one, in order to have the best semantic correspondence? While this latter criterion has to be defined by a human, in this paper we present a new application of the Case-Based Reasoning (or CBR) methodology, that helps the user in finding a good match thanks to a score function taking into account previous results (i.e. solved cases). Such a technique makes the schema mapping easier and less error-prone. The proposed solution is in use in an industrial context, at the Multiposting firm.

Keywords : Case based reasoning Schema mapping Language processing Data mining

Document type :

Conference papers

Domain :

Mathematics [math]

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https://hal-centralesupelec.archives-ouvertes.fr/hal-02402482
Contributor : Delphine Le Piolet <>
Submitted on : Tuesday, December 10, 2019 - 2:43:05 PM
Last modification on : Tuesday, October 27, 2020 - 2:34:46 PM

A Case-Based Approach for Easing Schema Semantic Mapping

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