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Towards Customised Visualisation of Ontologies: State of the Art and Future Applications for Online Polls Analysis

Autoren: F. Burgstaller, M. Stabauer, R. Morgan, G. Grossmann
Paper: Burg17a (2017)
Zitat: Proceedings of the 40th Australasian Computer Science Conference (SCSC 2017), Jan. 31 - Feb 3., 2017, Geelong, Australia, 2017.
Ressourcen: Kopie  (Senden Sie ein Email mit  Burg17a  als Betreff an dke.win@jku.at um diese Kopie zu erhalten)


Kurzfassung (Englisch):

Online polling is a popular tool to increase user involvement on all kinds of websites. Consumers are interested in sharing their opinion and so contribute to the website's content. Aggregated opinions, attitudes, and preferences convey a great deal of knowledge which is often unutilised as there exists no efficient method to explore them. An ongoing research project suggests methods, technologies, and processes to extract the knowledge that lies within the questions posed by website publishers and the answers given by users. This knowledge is saved in a triple store and enhanced by reasoning and other methods of the semantic web.

One important technique is the visualisation of both the structure (entities and relations) and aggregated information of consumers in the knowledge base. Existing techniques often focus on only one of them although integration of both is required to explore the nature of the content and information about user groups such as size and intersections among them. The research described in this paper surveys current visualisation tools and libraries for the support of identified requirements in a case study. Based on the findings, an implementation of Agile Visualization for a specific polling system in specific and ontologies in general is proposed, which allows for a more customisable and flexible visualisation. A reusable transformation process for the ontology's data is discussed, which makes it possible to use the aforementioned knowledge base as input for the agile visualization approach.