Eddie Soulier,
From Story to Narrative Network. A perspective based on network theory and data sciences
International Conference on Computational Collective Intelligence Technologies and Applications 2014, CompStory14, The First International Symposium on Computational Story, September 25, 2014, Seoul, Korea
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Computational storytelling is an emerging discipline which gives room to many active researches. Beyond artistic and literary fields like trans-media storytelling, computational storytelling becomes a key technics used in Organizational storytelling, Learning and knowledge engineering to convey ta-cit knowledge. Computational storytelling starts with a claim of story being a part of knowledge representation paradigm. It allows the development of inno-vative systems like Case-based reasoning systems or more recently semantic web technology based on Natural language processing or statistical modeling techniques. But ‘text-like’ approaches of narratives are thereby limited to text excluding context. A second step deals with natural, oral or conversational sto-rytelling analysis. Here stories are not reified artifacts and past stuff but living, embodied, collaborative/polyphonic and ongoing process. Conversation analy-sis is now a well-established framework for examining conversational exchan-ge. But a spontaneous discourse interaction remains out of reach for many com-puter scientists to capture, represent and share its meaning. Furthermore many elements belonging to any communication process are not ‘here and now’ present in the situation but also distributed across time and space. Without re-jecting the two previous approaches, Ontologies, Graphs and Networks ap-proach coupled with Big Data promise an attractive challenge. We will present our actual work grounded on Pentland and Feldman's (2007) narrative network theoretical framework but completed by additional computing contributions.