A semantic-based discovery service for the Internet of Things

Journal of Internet Services and Applications

Everton Cavalcante¹  Porfírio Gomes¹  Thais Batista¹  Flavia C. Delicato²  Paulo F. Pires²  Denis Conan³  Sophie Chabridon³  Chantal Taconet³ 

[1] 0000 0000 9687 399X, grid.411233.6, Department of Informatics and Applied Mathematics, Federal University of Rio Grande do Norte, Natal, Brazil;0000 0001 2294 473X, grid.8536.8, Department of Computer Science, Federal University of Rio de Janeiro, Rio de Janeiro, Brazil;0000 0004 4910 6535, grid.460789.4, SAMOVAR-UMR CNRS, Université Paris-Saclay/Télécom SudParis, Évry, France;

关键词: Internet of Things;    Discovery service;    Semantic web;    Quality of context;    Information model;   

DOI  :  10.1186/s13174-019-0109-8

来源: publisher

【 摘 要 】

With the Internet of Things (IoT), applications should interact with a huge number of devices and retrieve context data produced by those objects, which have to be discovered and selected a priori. Due to the number, heterogeneity, and dynamicity of resources, discovery services are required to consider many selection criteria, e.g., device capabilities, location, context data type, contextual situations, and quality. In this paper, we describe QoDisco, a semantic-based discovery service that addresses this requirement in IoT. QoDisco is composed of a set of repositories storing resource descriptions according to an ontology-based information model and it provides multi-attribute and range querying capabilities. We have evaluated different approaches to reduce the inherent cost of semantic search, namely parallel interactions with multiple repositories and publish-subscribe interactions. This paper also reports the results of some performance experiments on QoDisco with respect to these approaches to handle resource discovery requests in IoT.

【 授权许可】

CC BY