Online resources, large data repositories and streaming social network messages embed plenitudes of interesting knowledge, often of associative nature. A specific communicative context, such as the political debate in a given country, has groupings of actors, with changing attitudes and stances towards each other and external, real or invented, threats and opportunities. A new form of associative network is introduced, that integrate flexible ontologies for complex contexts of roles and hierarchies with a labelled association structure representing observed strengths and attitudes. Twitter messages from the political landscape in Denmark up to the general election 2015 are used as a both current and relevant illustrative case.
CITATION STYLE
Andreasen, T., Christiansen, H., & Eberholst, M. K. (2015). Ontology-based roles association networks for visualizing trends in political debate. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 9405, pp. 477–482). Springer Verlag. https://doi.org/10.1007/978-3-319-25591-0_35
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