Cultural adaptivity for the Semantic Web

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Abstract

Our research explores the possibilities for factoring culture into user models, working towards cultural adaptivity in the Semantic Web. The aim is to automate the localization process by acquiring details about an individual's cultural background. The paper shows how we have based our approach on research findings from related fields, outlining the connection between the cultural user and domain model ontologies, and a test environment. Furthermore, we describe a preliminary plan of how to validate our cultural user model by comparison to our previous experience in the manual adaptation of imbuto. © 2008 Springer-Verlag Berlin Heidelberg.

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APA

Reinecke, K. (2007). Cultural adaptivity for the Semantic Web. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4825 LNCS, pp. 946–950). https://doi.org/10.1007/978-3-540-76298-0_75

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