@article{eaeadc311c6f479bab8a07572347d6ad,
title = "Ontology-defined middleware for internet of things architectures",
abstract = "The Internet of Things scenario is composed of an amalgamation of physical devices. Those physical devices are heterogeneous in their nature both in terms of communication protocols and in data exchange formats. The Web of Things emerged as a homogenization layer that uses well-established web technologies and semantic web technologies to exchange data. Therefore, the Web of Things enables such physical devices to the web, they become Web Things. Given such a massive number of services and processes that the Internet of Things/Web of Things enables, it has become almost mandatory to describe their properties and characteristics. Several web ontologies and description frameworks are devoted to that purpose. Ontologies such as SOSA/SSN or OWL-S describe the Web Things and their procedures to sense or actuate. For example, OWL-S complements SOSA/SSN in describing the procedures used for sensing/actuating. It is, however, not its scope to be specific enough to enable a computer program to interpret and execute the defined flow of control. In this work, it is our goal to investigate how we can model those procedures using web ontologies in a manner that allows us to directly deploy the procedure implementation. A prototype implementation of the results of our research is implemented along with an analysis of several use cases to show the generality of our proposal.",
keywords = "Behaviour, Heterogeneity, Middleware, Ontology, Semantic, Web-of-things",
author = "V{\'i}ctor Caballero and Sergi Valbuena and David Vernet and Agust{\'i}n Zaballos",
note = "Funding Information: This work received funding from the “Ag{\`e}ncia de Gesti{\'o} d{\textquoteright}Ajuts Universitaris i de Recerca (AGAUR)” of “Generalitat de Catalunya” (grant identification “2017 SGR 977”) and ENVISERA project, funded by Spanish Ministerio de Econom{\'i}a y Competitividad (Plan Estatal de Investigaci{\'o}n Cient{\'i}fica y T{\'e}cnica y de Innovaci{\'o}n 2013–2016, grant reference CTM2015-68902-R). Part of this research has also been funded by the “SUR” of the “DEC” of the “Generalitat de Catalunya” and by the European Social Funds (grant reference 2018FI_B1_00171). In addition, we would like to thank La Salle—Universitat Ramon Llull for their support. Funding Information: Funding: This work received funding from the “Ag{\`e}ncia de Gesti{\'o} d{\textquoteright}Ajuts Universitaris i de Recerca (AGAUR)” of “Generalitat de Catalunya” (grant identification “2017 SGR 977”) and ENVISERA project, funded by Spanish Ministerio de Econom{\'i}a y Competitividad (Plan Estatal de Investigaci{\'o}n Cient{\'i}fica y T{\'e}cnica y de Innovaci{\'o}n 2013–2016, grant reference CTM2015-68902-R). Part of this research has also been funded by the “SUR” of the “DEC” of the “Generalitat de Catalunya” and by the European Social Funds (grant reference 2018FI_B1_00171). In addition, we would like to thank La Salle—Universitat Ramon Llull for their support. Publisher Copyright: {\textcopyright} 2019 by the authors. Licensee MDPI, Basel, Switzerland.",
year = "2019",
month = mar,
day = "1",
doi = "10.3390/s19051163",
language = "English",
volume = "19",
journal = "Sensors (Switzerland)",
issn = "1424-8220",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "5",
}