Semantically-enhanced extension of the discussion analysis algorithm in SAKE

In this article we describe an approach for semantic-based analysis of discussions within semantic-based groupware system (GWS) in SAKE project. SAKE (semantic agile knowledge-based e-government) is a STREP Project sponsored by the European Union starting March in 2006. The overall objective of SAKE is to specify, develop and deploy a holistic framework and supporting tools for an agile knowledge-based e-government that will be sufficiently flexible to adapt to changing and diverse environments and needs. We give a brief overview of the approach that will be applied for evaluation of discussion, discussions threads and discussion posts. Part of the approach is also an analysis of the discussants regarding positive or negative reactions on their contributions, extended by usage of concepts from argumentation ontology. Main goal is to identify some rating of the users involved in the discussion and support moderators in evaluation of discussion result and/or identify discussants skills useful for another similar case discussion.