research-article

Cross-lingual lexical matching with word translation and local similarity optimization

Authors:

Mamoun Abu Helou,

Matteo PalmonariAuthors Info & Claims

SEMANTICS '15: Proceedings of the 11th International Conference on Semantic Systems

Pages 97 - 104

https://doi.org/10.1145/2814864.2814888

Published: 16 September 2015 Publication History

Abstract

Cross-Lingual Mapping (CLM) establishes semantic relations between source and target concepts to align two resources lexicalized in different languages, e.g., ontologies, thesauri, or concept inventories, or to enrich a multilingual resource. In this paper, we focus on purely lexical matching algorithms to support CLM between lexically-rich resources, where concepts can be identified by synsets. The key idea of these algorithms is to use the results of word translations as evidence to map synsets lexicalized in different languages. We propose a new cross-lingual similarity measure inspired by a classification-based mapping semantics. Then we apply a novel local similarity optimization method to select the best matches for each source synset. To evaluate our approach we use wordnets in four different languages, which have been manually mapped to the English WordNet. Results show that despite our method uses only lexical information about the concepts, it obtains good performance and significantly outperforms several baseline methods.

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Cited By

Ibrahim SFathalla SLehmann JJabeen H(2023)Toward the Multilingual Semantic Web: Multilingual Ontology Matching and AssessmentIEEE Access10.1109/ACCESS.2023.323887111(8581-8599)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3238871
Ali MFathalla SIbrahim SKholief MHassan Y(2019)CLOE: a cross-lingual ontology enrichment using multi-agent architectureEnterprise Information Systems10.1080/17517575.2019.159223213:7-8(1002-1022)Online publication date: 26-Mar-2019
https://doi.org/10.1080/17517575.2019.1592232
Helou MPalmonari MJarrar M(2018)Effectiveness of automatic translations for cross-lingual ontology mappingJournal of Artificial Intelligence Research10.5555/3013558.301356455:1(165-208)Online publication date: 20-Dec-2018
https://dl.acm.org/doi/10.5555/3013558.3013564

Index Terms

Cross-lingual lexical matching with word translation and local similarity optimization
1. Information systems
  1. Information systems applications

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cover image ACM Other conferences

SEMANTICS '15: Proceedings of the 11th International Conference on Semantic Systems

September 2015

220 pages

ISBN:9781450334624

DOI:10.1145/2814864

Editors:
Sebastian Hellmann
AKSW/KILT, Universität Leipzig, Germany
,
Josiane Xavier Parreira
Siemens AG Austria, Austria
,
Axel Polleres
Vienna University of Economy and Business (WU), Austria

Copyright © 2015 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 16 September 2015

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Seventh Framework Programme

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SEMANTiCS '15

SEMANTiCS '15: 11th International Conference on Semantic Systems

September 16 - 17, 2015

Vienna, Austria

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SEMANTICS '15 Paper Acceptance Rate 22 of 97 submissions, 23%;

Overall Acceptance Rate 40 of 182 submissions, 22%

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Cited By

Ibrahim SFathalla SLehmann JJabeen H(2023)Toward the Multilingual Semantic Web: Multilingual Ontology Matching and AssessmentIEEE Access10.1109/ACCESS.2023.323887111(8581-8599)Online publication date: 2023
https://doi.org/10.1109/ACCESS.2023.3238871
Ali MFathalla SIbrahim SKholief MHassan Y(2019)CLOE: a cross-lingual ontology enrichment using multi-agent architectureEnterprise Information Systems10.1080/17517575.2019.159223213:7-8(1002-1022)Online publication date: 26-Mar-2019
https://doi.org/10.1080/17517575.2019.1592232
Helou MPalmonari MJarrar M(2018)Effectiveness of automatic translations for cross-lingual ontology mappingJournal of Artificial Intelligence Research10.5555/3013558.301356455:1(165-208)Online publication date: 20-Dec-2018
https://dl.acm.org/doi/10.5555/3013558.3013564
Ali MFathalla SIbrahim SKholief MHassan Y(2018)Cross-Lingual Ontology Enrichment Based on Multi-Agent ArchitectureProcedia Computer Science10.1016/j.procs.2018.09.013137(127-138)Online publication date: 2018
https://doi.org/10.1016/j.procs.2018.09.013

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