Enriching ontologies with multilingual information

October 17, 2018

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Publicated to: Natural Language Engineering. 17 (3): 283-309 - 2011-07-01 17(3), DOI: 10.1017/S1351324910000082

Authors:

Montiel-Ponsoda, E; de Cea, GA; Gómez-Pérez, A; Peters, W

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Affiliations

Escuela Tecnica Superior de Ingenieros Informaticos, Universidad Politecnica de Madrid - Author

Ontology Engineering Group. Universidad Politécnica de Madrid - Author

Univ Politecn Madrid, Ontol Engn Grp, Fac Informat, E-28660 Madrid, Spain - Author

Univ Sheffield, Sheffield Nat Language Proc Grp, Sheffield S1 4DP, S Yorkshire, England - Author

University of Sheffield - Author

Abstract

This paper presents a novel approach to ontology localization with the objective of obtaining multilingual ontologies. Within the ontology development process, ontology localization has been defined as the activity of adapting an ontology to a concrete linguistic and cultural community. Depending on the ontology layers - terminological and/or conceptual - involved in the ontology localization activity, three heterogeneous multilingual ontology metamodels have been identified, of which we propose one of them. Our proposal consists in associating the ontology metamodel to an external model for representing and structuring lexical and terminological data in different natural languages. Our model has been called Linguistic Information Repository (LIR). The main advantages of this modelling modality rely on its flexibility by allowing (1) the enrichment of any ontology element with as much linguistic information as needed by the final application, and (2) the establishment of links among linguistic elements within and across different natural languages. The LIR model has been designed as an ontology of linguistic elements and is currently available in Web Ontology Language (OWL). The set of lexical and terminological data that it provides to ontology elements enables the localization of any ontology to a certain linguistic and cultural universe. The LIR has been evaluated against the multilingual requirements of the Food and Agriculture Organization of the United Nations in the framework of the NeOn project. It has proven to solve multilingual representation problems related to the establishment of well-defined relations among lexicalizations within and across languages, as well as conceptualization mismatches among different languages. Finally, we present an extension to the Ontology Metadata Vocabulary, the so-called LexOMV, with the aim of reporting on multilinguality at the ontology metadata level. By adding this contribution to the LIR model, we account for multilinguality at the three levels of an ontology: data level, knowledge representation level and metadata level. © 2010 Cambridge University Press.

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Keywords

Zero hunger

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal Natural Language Engineering due to its progression and the good impact it has achieved in recent years, according to the agency Scopus (SJR), it has become a reference in its field. In the year of publication of the work, 2011, it was in position , thus managing to position itself as a Q2 (Segundo Cuartil), in the category Artificial Intelligence. Notably, the journal is positioned en el Cuartil Q3 for the agency WoS (JCR) in the category Computer Science, Artificial Intelligence.

Independientemente del impacto esperado determinado por el canal de difusión, es importante destacar el impacto real observado de la propia aportación.

Según las diferentes agencias de indexación, el número de citas acumuladas por esta publicación hasta la fecha 2026-04-24:

Open Alex: 65
Google Scholar: 67
WoS: 17
Scopus: 33

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Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2026-04-24:

The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 56.
The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 56 (PlumX).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

The work has been submitted to a journal whose editorial policy allows open Open Access publication.
Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/6802/

As a result of the publication of the work in the institutional repository, statistical usage data has been obtained that reflects its impact. In terms of dissemination, we can state that, as of

Views: 842
Downloads: 898

Continuing with the social impact of the work, it is important to emphasize that, due to its content, it can be assigned to the area of interest of ODS 2 - End hunger, achieve food security and improved nutrition and promote sustainable agriculture, with a probability of 69% according to the mBERT algorithm developed by Aurora University.

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Leadership analysis of institutional authors

This work has been carried out with international collaboration, specifically with researchers from: United Kingdom.

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (MONTIEL PONSODA, ELENA) .

the author responsible for correspondence tasks has been MONTIEL PONSODA, ELENA.

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License and Use

Citations

Altmetrics

Impact on the Sustainable Development Goals (SDGs)

Analysis of institutional authors

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