The modeling, analysis and classification of conversations in collaborative environments
Journal Title: Romanian Journal of Human - Computer Interaction - Year 2014, Vol 7, Issue 3
Abstract
The classification of conversations in collaborative environments is needed for a better understanding of discussed subjects. Ontologies represent an efficient and representative method of conceptualising a domain. Starting with a predefined set of ontologies for multiple domains, a precise conversation classification between multiple members is wanted. To facilitate this process, the language in which the messages are written must be detected and there should be as little grammatical errors as possible. In this manner, the keywords used by the conversation’s participants can be found among the concepts from the ontologies, while the dominant and central concepts determine the domains on which the conversations are classified. For doing this analysis, we built a web collaborative platform that enables realtime communication between users, the visualisation of keywords within ontologies using radial graphs and the transcript export in an accessible format for further analysis. The platform is accessible on any type of device, being capable of displaying the minimal needed information for a mobile device and automatically rescaling on a bigger screen. In this paper we provide details regarding the application’s implementation, the advantages of using it and its classification system, as well as the benefits of integrating it in different educational contexts.
Authors and Affiliations
Alexandru Bardaş , Mihai Dascălu , Ştefan Trăuşan-Matu
Keywords
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