Cross-Cultural Concept Mapping of Standardized Datasets

    Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

    Abstract

    This work compares four feature-based similarity measures derived from cognitive sciences. The purpose of the comparative analysis is to verify the potentially most effective model that can be applied for mapping independent ontologies in a culturally influenced domain [1]. Here, datasets based on standardized pre-defined feature dimensions and values, which are obtainable from the UNESCO Institute for Statistics (UIS) have been used for the comparative analysis of the similarity measures.
    Original languageEnglish
    Title of host publicationProceedings of the TKE Workshop "Challenges to Knowledge Representation in Multilingual Context"
    EditorsRute Costa, Manuel Silva, António Lucas Soares
    Number of pages8
    Place of PublicationMadrid
    PublisherUniversidad Politécnica de Madrid
    Publication date2012
    Pages9-16
    Publication statusPublished - 2012
    Event10th International Conference on Terminology and Knowledge Engineering. TKE 2012: New Frontiers in the Constructive Symbiosis of Terminology and Knowledge Engineering - Escuela Técnica Superior de Ingenieros de Caminos, Canales y Puertos, Madrid, Spain
    Duration: 19 Jun 201222 Jun 2012
    Conference number: 10

    Conference

    Conference10th International Conference on Terminology and Knowledge Engineering. TKE 2012
    Number10
    LocationEscuela Técnica Superior de Ingenieros de Caminos, Canales y Puertos
    CountrySpain
    CityMadrid
    Period19/06/201222/06/2012

    Cite this

    Kano Glückstad, F. (2012). Cross-Cultural Concept Mapping of Standardized Datasets. In R. Costa, M. Silva, & A. L. Soares (Eds.), Proceedings of the TKE Workshop "Challenges to Knowledge Representation in Multilingual Context" (pp. 9-16). Universidad Politécnica de Madrid. http://www.dfki.de/web/forschung/publikationen/renameFileForDownload?filename=Challenges to Knowledge Representation 2012 Proceedings.pdf&file_id=uploads_1586