Title: GOOSE: goal oriented orchestration for smart environments

Authors: Vincenzo Catania; Gaetano Carmelo La Delfa; Salvatore Monteleone; Davide Patti; Daniela Ventura; Giuseppe La Torre

Addresses: Department of Electrical, Electronic and Computer Engineering, University of Catania, Italy ' Department of Electrical, Electronic and Computer Engineering, University of Catania, Italy ' Department of Electrical, Electronic and Computer Engineering, University of Catania, Italy ' Department of Electrical, Electronic and Computer Engineering, University of Catania, Italy ' Department of Electrical, Electronic and Computer Engineering, University of Catania, Italy ' TIM JOL WAVE, Catania, Italy

Abstract: Smart environment scenarios are characterised by the presence of users, with different needs and preferences, and everyday life objects exploited to meet the expectations of users themselves. Connecting objects to the internet and making them accessible from remote is not sufficient to make an environment 'smart' since such ecosystems should also be able to enable context-sensitive actions along with a management of the interaction between objects and users. In this work, we propose GOOSE, a platform which aimed at interpreting users goals expressed in natural language in order to generate, select, and safely enforce a set of plans to be executed to fulfill target goals. After highlighting the main challenges affecting typical machine-to-machine (M2M) communication scenarios, we show how the use of a semantic reasoner can be used to allow the composition of plans consisting of sequences of services to be called on the smart environment objects. Finally, we address the issue of secure communications between platform and objects, and the management of potentially inconsistent goals.

Keywords: machine-to-machine; M2M; RESTful services; goal-oriented architecture; user-object interactions; semantic descriptions; indoor localisation.

DOI: 10.1504/IJAHUC.2019.103130

International Journal of Ad Hoc and Ubiquitous Computing, 2019 Vol.32 No.3, pp.159 - 170

Received: 15 Dec 2017
Accepted: 18 May 2018
Published online: 21 Oct 2019 *

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