Policy Conflict Resolution in IoT via Planning. / Göynügür, Emre; Bernardini, Sara; de Mel, Geeth ; Talamadupula, Kartik; Şensoy, Murat.

Canadian Conference on Artificial Intelligence: AI 2017: Advances in Artificial Intelligence. Vol. 10233 Springer, 2017. p. 169-175 (Lecture Notes in Computer Science; Vol. 10233).

Research output: Chapter in Book/Report/Conference proceedingConference contribution



  • Emre Göynügür
  • Sara Bernardini
  • Geeth de Mel
  • Kartik Talamadupula
  • Murat Şensoy


With the explosion of connected devices to automate tasks, manually governing interactions among such devices—and associated services—has become an impossible task. This is because devices have their own obligations and prohibitions in context, and humans are not equipped to maintain a bird’s-eye-view of the environment. Motivated by this observation, in this paper, we present an ontology-based policy framework which can efficiently detect policy conflicts and automatically resolve such using an AI planner.
Original languageEnglish
Title of host publicationCanadian Conference on Artificial Intelligence
Subtitle of host publicationAI 2017: Advances in Artificial Intelligence
Number of pages7
ISBN (Electronic)978-3-319-57351-9
ISBN (Print)978-3-319-57350-2
Publication statusPublished - 2017

Publication series

NameLecture Notes in Computer Science
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349
This open access research output is licenced under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License.

ID: 28106139