Semantic Matchmaking for Argumentative Intelligence in Ubiquitous Computing

The Semantic Web of Things enables the exchange of knowledge fragments through machine-to-machine interactions, supporting collaborative decision-making among ubiquitous smart objects. Available methodologies, however, have often limited generality of applications and interpretability of results. This paper introduces early work on a novel structured argumentation approach, integrating Dung-style abstract argumentation with Description Logics reasoning. A semantic matchmaking scheme, exploiting non-standard, non-monotonic inferences, allows the appraisal of argument relations. This enables graded acceptability ranking of arguments with a formal explanation, while enabling the automatic evaluation of an argumentative graph to draw conclusions. The proposal is general-purpose, but oriented toward SWoT multi-agent systems, as illustrated in a vehicular network case study.