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Published in:
2017 | OriginalPaper | Chapter
DKA-robo: Dynamically Updating Time-Invalid Knowledge Bases Using Robots
Authors : Ilaria Tiddi, Emanuele Bastianelli, Enrico Daga, Mathieu d’Aquin
Published in: Knowledge Engineering and Knowledge Management
Publisher: Springer International Publishing
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Abstract
In this paper we present the DKA-robo framework, where a mobile robot is used to update the 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and manage the time validity of information, combined with a robot acting as a mobile sensor which updates the outdated statements in the knowledge base, therefore always guaranteeing time-valid results against user queries.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.