DKA-robo: dynamically updating time-invalid knowledge bases using robots

Tiddi, Ilaria; Bastianelli, Emanuele; Daga, Enrico and d'Aquin, Mathieu (2016). DKA-robo: dynamically updating time-invalid knowledge bases using robots. In: 20th International Conference on Knowledge Engineering and Knowledge Management (EKAW2016), 19-23 Nov 2016, Bologna, Italy.

Abstract

In this paper we present the DKA-robo framework, where a mobile agent is used to update those statements of a knowledge base that have lost validity in time. Managing the dynamic information of knowledge bases constitutes a key issue in many real-world scenarios, because constantly reevaluating data requires efforts in terms of knowledge acquisition and representation. Our solution to such a problem is to use RDF and SPARQL to represent and manage the time-validity of information, combined with an agent acting as a mobile sensor which updates the outdated statements in the knowledge base, therefore always guaranteeing time-valid results against user queries. This demo shows the implementation of our approach in the working environment of our research lab, where a robot is used to sense temperature, humidity, wifi- signal and number of people on demand, updating the lab knowledge base with time-valid information.