Cross-Cultural Concept Mapping of Standardized Datasets

Fumiko Kano Glückstad

Cross-Cultural Concept Mapping of Standardized Datasets

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-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 language	English
Title of host publication	Proceedings of the TKE Workshop "Challenges to Knowledge Representation in Multilingual Context"
Editors	Rute Costa, Manuel Silva, António Lucas Soares
Number of pages	8
Place of Publication	Madrid
Publisher	Universidad Politécnica de Madrid
Publication date	2012
Pages	9-16
Publication status	Published - 2012
Event	10th 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 2012 → 22 Jun 2012 Conference number: 10

Conference

Conference	10th International Conference on Terminology and Knowledge Engineering. TKE 2012
Number	10
Location	Escuela Técnica Superior de Ingenieros de Caminos, Canales y Puertos
Country/Territory	Spain
City	Madrid
Period	19/06/2012 → 22/06/2012

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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

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title = "Cross-Cultural Concept Mapping of Standardized Datasets",

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.",

keywords = "Feature-based similarity, Cross-cultural communication, Multilinguality, Bayesian model of generalization, Categorization",

author = "{Kano Gl{\"u}ckstad}, Fumiko",

year = "2012",

language = "English",

pages = "9--16",

editor = "Rute Costa and Silva, {Manuel } and Soares, {Ant{\'o}nio Lucas}",

booktitle = "Proceedings of the TKE Workshop {"}Challenges to Knowledge Representation in Multilingual Context{"}",

publisher = "Universidad Polit{\'e}cnica de Madrid",

address = "Spain",

note = "10th International Conference on Terminology and Knowledge Engineering. TKE 2012 ; Conference date: 19-06-2012 Through 22-06-2012",

}

Kano Glückstad, F 2012, Cross-Cultural Concept Mapping of Standardized Datasets. in R Costa, M Silva & AL Soares (eds), Proceedings of the TKE Workshop "Challenges to Knowledge Representation in Multilingual Context". Universidad Politécnica de Madrid, Madrid, pp. 9-16, 10th International Conference on Terminology and Knowledge Engineering. TKE 2012, Madrid, Spain, 19/06/2012. <http://www.dfki.de/web/forschung/publikationen/renameFileForDownload?filename=Challenges to Knowledge Representation 2012 Proceedings.pdf&file_id=uploads_1586>

Cross-Cultural Concept Mapping of Standardized Datasets. / Kano Glückstad, Fumiko.
Proceedings of the TKE Workshop "Challenges to Knowledge Representation in Multilingual Context". ed. / Rute Costa; Manuel Silva; António Lucas Soares. Madrid: Universidad Politécnica de Madrid, 2012. p. 9-16.

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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