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

Ilaria Tiddi, Emanuele Bastianelli*, Enrico Daga, Mathieu d’Aquin

*Corresponding author for this work

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review


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and manage the time validity of information, combined with a robot acting as a mobile sensor which updates the outdated statements in the knowledge base, therefore always guaranteeing time-valid results against user queries.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.

Original languageEnglish
Title of host publicationKnowledge Engineering and Knowledge Management - EKAW 2016 Satellite Events, EKM and Drift-an-LOD, Revised Selected Papers
EditorsMari Carmen Suarez-Figueroa, Jun Zhao, Matthew Horridge, Valentina Presutti, Tudor Groza, Mathieu d’Aquin, Paolo Ciancarini, Francesco Poggi
PublisherSpringer Verlag
Number of pages5
ISBN (Print)9783319586939
Publication statusPublished - 1 Jan 2017
Externally publishedYes
Event20th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2016 - Bologna, Italy
Duration: 19 Nov 201623 Nov 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10180 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference20th International Conference on Knowledge Engineering and Knowledge Management, EKAW 2016


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