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dc.contributor.authorThakker, Dhaval*
dc.contributor.authorKaranasios, S*
dc.contributor.authorBlanchard, E.*
dc.contributor.authorLau, L.*
dc.contributor.authorDimitrova, V.*
dc.date.accessioned2016-11-08T13:37:30Z
dc.date.available2016-11-08T13:37:30Z
dc.date.issued2016
dc.identifier.citationThakker D, Karanasios S, Blanchard E et al (2016) Ontology for cultural variations in interpersonal communication: building on theoretical models and crowdsourced knowledge. Journal of the Association for Information Science and Technology. 68(6): 1411-1428.en_US
dc.identifier.urihttp://hdl.handle.net/10454/10246
dc.descriptionYesen_US
dc.description.abstractThe domain of cultural variations in interpersonal communication is becoming increasingly important in various areas, including human-human interaction (e.g. business settings) and humancomputer interaction (e.g. during simulations, or with social robots). User generated content (UGC) in social media can provide an invaluable source of culturally diverse viewpoints for supporting the understanding of cultural variations. However, discovering and organizing UGC is notoriously challenging and laborious for humans, especially in ill-defined domains such as culture. This calls for computational approaches to automate the UGC sensemaking process by using tagging, linking and exploring. Semantic technologies allow automated structuring and qualitative analysis of UGC, but are dependent on the availability of an ontology representing the main concepts in a specific domain. For the domain of cultural variations in interpersonal communication, no ontological model exists. This paper presents the first such ontological model, called AMOn+, which defines cultural variations and enables tagging culture-related mentions in textual content. AMOn+ is designed based on a novel interdisciplinary approach that combines theoretical models of culture with crowdsourced knowledge (DBpedia). An evaluation of AMOn+ demonstrated its fitness-for-purpose regarding domain coverage for annotating culture-related concepts mentioned in text corpora. This ontology can underpin computational models for making sense of UGC.en_US
dc.language.isoenen_US
dc.rights© 2016 Wiley. This is the peer reviewed version of the following article: Thakker D, Karanasios S, Blanchard E et al (2016) Ontology for cultural variations in interpersonal communication: building on theoretical models and crowdsourced knowledge. Journal of the Association for Information Science and Technology, which has been published in final form at http://dx.doi.org/ 10.1002/asi.23824. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.en_US
dc.subjectOntology; Knowledge engineering; Culture; Crowdsourced knowledge; Semantic taggingen_US
dc.titleOntology for cultural variations in interpersonal communication: building on theoretical models and crowdsourced knowledgeen_US
dc.status.refereedYesen_US
dc.date.Accepted2016-09-27
dc.date.application2017-05-05
dc.typeArticleen_US
dc.type.versionAccepted Manuscripten_US
dc.identifier.doihttps://doi.org/ 10.1002/asi.23824
refterms.dateFOA2018-07-26T09:36:07Z


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