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Ontology localization

Authors: Espinoza Mejía, Mauricio; Montiel Ponsoda, Elena; Gómez-Pérez, A.;

Ontology localization

Abstract

nternational organizations (e.g., FAO1 , WHO2 , etc.) are increasingly expressing the need for multilingual ontologies for di®erent purposes, e.g., ontology-based multilingual machine translation, multilingual informa- tion retrieval. However, most of the ontologies built so far have mainly English or another natural language as basis. Since multilingual ontology building is a very ex- pensive and time-consuming undertaking, we propose methods for guiding users in the localization of ontolo- gies, and provide tools for supporting the process. The main contributions of this paper are: i) the descrip- tion of a generic Ontology Localization Activity and a methodology for guiding in the localization of ontolo- gies; ii) the description of a tool built according to the guidelines proposed for an automatic localization of on- tologies; and iii) a set of experiments used to evaluate the methodological and technological aspects of the On- tology Localization Activity.

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  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    28
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
28
Average
Top 10%
Average
Green