Web-Retrieval Supported Argument Space Exploration
Marcus Thiel, Philipp Ludwig, Till Mossakowski, Fabian Neuhaus, Andreas Nürnberger · 2017
Solid decision making should be ideally based on clear arguments that can be justified by trustworthy information sources. However, argument spaces can quickly get quite complex and it is very often hard to trace the line of arguments found in literature or social media such as blogs and forums. In this paper, we propose a framework for a decision supporting interactive information retrieval system using methods for argument exploration based on textual documents. This concept is supported by a prototype that focuses on the actual analysis of the retrieved arguments in order to obtain a justified decision. For that we use a simplified argumentation graph with nodes as arguments and simple attacking and supporting relations. A web-based plausibility value is propagated (using ranked-based argumentation semantics) through the network for estimating the quality of the arguments. This is based on a web search for documents that support these arguments. The final decision can further be supported by chosing certain preferred interpretations of an abstract dialectical framework, leading to an integrated view of searching, creating, analysing and deciding.