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Learning Vague Knowledge from Socially Generated Content in an Enterprise Framework

Abstract : The advent and wide proliferation of Social Web in the recent years has promoted the concept of social interaction as an important influencing factor of the way enterprises and organizations conduct business. Among the fields influenced is that of Enterprise Knowledge Management, where adoption of social computing approaches aims at increasing and maintaining at high levels the active participation of users in the organization’s knowledge management activities. An important challenge towards this is the achievement of the right balance between informalities of socially generated data and the required formality of enterprise knowledge. In this context, we focus on the problem of mining vague knowledge from social content generated within an enterprise framework and we propose a learning framework based on microblogging and fuzzy ontologies.
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Panos Alexopoulos, John Pavlopoulos, Phivos Mylonas. Learning Vague Knowledge from Socially Generated Content in an Enterprise Framework. 8th International Conference on Artificial Intelligence Applications and Innovations (AIAI), Sep 2012, Halkidiki, Greece. pp.510-519, ⟨10.1007/978-3-642-33412-2_52⟩. ⟨hal-01523092⟩



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