Thakker, D, Karanasios, S, Blanchard, E et al. (2 more authors) (2017) 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). pp. 1411-1428. ISSN 2330-1635
Abstract
The domain of cultural variations in interpersonal communication is becoming increasingly important in various areas, including human-human interaction (e.g. business settings) and human-computer 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.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2017 ASIS&T. This is the peer reviewed version of the following article: Thakker, D., Karanasios, S., Blanchard, E., Lau, L. and Dimitrova, V. (2017), Ontology for cultural variations in interpersonal communication: Building on theoretical models and crowdsourced knowledge. Journal of the Association for Information Science and Technology, 68: 1411–1428; which has been published in final form at https://doi.org/10.1002/asi.23824. This article may be used for non-commercial purposes in accordance with the Wiley Terms and Conditions for Self-Archiving. |
Keywords: | Ontology; knowledge engineering; culture; crowdsourced knowledge; semantic tagging |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Business (Leeds) > Management Division (LUBS) (Leeds) > Logistics, Info, Ops and Networks (LION) (LUBS) The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds) |
Funding Information: | Funder Grant number EU - European Union 257831 |
Depositing User: | Symplectic Publications |
Date Deposited: | 14 Oct 2016 13:38 |
Last Modified: | 05 Sep 2019 15:48 |
Status: | Published |
Publisher: | Association for Information Science and Technology |
Identification Number: | 10.1002/asi.23824 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:106007 |