Title :
Alignment of Remote Cultures: In Contrast to the Relevance Theory of Communication
Author :
Glückstad, Fumiko Kano
Author_Institution :
Dept. of Int. Language Studies & Comput. Linguistics, Copenhagen Bus. Sch., Frederiksberg, Denmark
Abstract :
As the role of ontology in a multilingual setting becomes important to Semantic Web development, it becomes necessary to understand and model how an original conceptual meaning of a Source Language word is conveyed into a Target Language translation. Terminological ontology [1] is a tool used for knowledge sharing and domain-specific translation, and could potentially be suitable for simulating the cognitive models explaining real-world inter-cultural communication scenarios. In this paper, a framework referred to as the Relevance Theory of Communication [2] is contrasted to an empirical study applying Tversky´s contrast model [3] to data-sets obtained from the terminological ontology. The results indicate that the alignment of two language-dependent terminological ontologies is a potential method for optimizing the relevance required in inter-cultural communication, in other words, for identifying corresponding concepts existing in two remote cultures.
Keywords :
cognitive systems; natural language processing; ontologies (artificial intelligence); optimisation; semantic Web; word processing; Tversky contrast model; cognitive model; domain-specific translation; knowledge sharing; language-dependent terminological ontology; multilingual setting; real-world intercultural communication scenario; relevance theory; remote culture alignment; semantic Web development; source language word; target language translation; Educational institutions; Feature extraction; Mathematical model; Medical services; Ontologies; Training; Inter-cultural communication; Ontology; Relevance; Set-theory; Similarity; Terminology; Translation;
Conference_Titel :
Culture and Computing (Culture Computing), 2011 Second International Conference on
Conference_Location :
Kyoto
Print_ISBN :
978-1-4577-1593-8
DOI :
10.1109/Culture-Computing.2011.13