Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Lexicalizing Ontologies: The Issues Behind The Labels
Year:2015
Research Areas
  • Information technology and adata processing
Information
Abstract
In information science, ontologies are used to capture knowledge about some domain of interest, by formally naming and defining the types, properties and interrelationships of the concepts that describe that domain. They are the building blocks of the Linked Data initiative in which datasets of related domains are linked to each other, and also to more general datasets, resulting in a huge space of interconnected data. It is precisely in this linking step that the linguistic descriptions used to name or label ontology entities (i.e., concepts, properties, attributes) become undeniably significant. This has also an impact in the subsequent process of ontology localization, thus turning it into a critical process. Based on our experience in the lexicalization and localization of several well adopted ontologies (FOAF, GoodRelations, the Organization ontology, among others) from English into Spanish, we propose a preliminary set of guidelines with a twofold goal. First, to guide users in the process of assigning labels and descriptions to ontology entities; second, to help terminologists and translators in the translation of these specific resources by providing them with coherent, user-friendly examples of how to apply the above mentioned guidelines
International
Si
Congress
10th International Conference on Terminology and Artificial Intelligence (AESLA 2015)
960
Place
Madrid, España
Reviewers
Si
ISBN/ISSN
978-2-9174-9025-9
Start Date
16/04/2015
End Date
18/04/2015
From page
1
To page
8
Proceedings 10th International Conference on Terminology and Artificial Intelligence TIA 2015
Participants
  • Autor: Guadalupe Aguado De Cea (UPM)
  • Autor: Elena Montiel Ponsoda (UPM)
  • Autor: Maria Poveda Villalon (UPM)
  • Autor: Olga Ximena Giraldo Pasmin (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Ontology Engineering Group
  • Departamento: Inteligencia Artificial
  • Departamento: Lingüística Aplicada a la Ciencia y a la Tecnología
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