Ontologies for the internet of things

Challenges the Internet of Things (IoT) is facing are directly inherited from today's Internet. However, they are amplified by the anticipated large scale deployments of devices and services, information flow and direct user involvment in the IoT. Challenges are many and we focus on addressing those related to scalability, heterogeneity of IoT components, and the highly dynamic and unknown nature of the network topology. In this paper, we give an overview of a service-oriented middleware solution that addresses those challenges using semantic technologies to provide interoperability and flexibility. We especially focus on modeling a set of ontologies that describe devices and their functionalities and thoroughly model the domain of physics. The physics domain is indeed at the core of the IoT, as it allows the approximation and estimation of functionalities usually provided by things. Those functionalities will be deployed as services on appropriate devices through our middleware.

[1]  R. Liscano,et al.  A Universal Ontology for Sensor Networks Data , 2007, 2007 IEEE International Conference on Computational Intelligence for Measurement Systems and Applications.

[2]  Jie Liu,et al.  Towards semantic services for sensor-rich information systems , 2005, 2nd International Conference on Broadband Networks, 2005..

[3]  Nicola Guarino,et al.  An Ontology of Meta-Level Categories , 1994, KR.

[4]  Alun D. Preece,et al.  An Ontology-Centric Approach to Sensor-Mission Assignment , 2008, EKAW.

[5]  José L. V. Mejino,et al.  Bridging Biological Ontologies and Biosimulation: The Ontology of Physics for Biology , 2008, AMIA.

[6]  Artem Katasonov,et al.  Smart Semantic Middleware for the Internet of Things , 2008, ICINCO-ICSO.

[7]  A. Devaraju,et al.  Combining Process and Sensor Ontologies to Support Geo-Sensor Data Retrieval , 2010 .

[8]  Ronald Brown,et al.  Smart-M3 information sharing platform , 2010, The IEEE symposium on Computers and Communications.

[9]  Werner Kuhn A Functional Ontology of Observation and Measurement , 2009, GeoS.

[10]  Thomas W. Narock,et al.  Using semantics to extend the space physics data environment , 2009, Comput. Geosci..

[11]  Vlad Trifa,et al.  Interacting with the SOA-Based Internet of Things: Discovery, Query, Selection, and On-Demand Provisioning of Web Services , 2010, IEEE Transactions on Services Computing.

[12]  Weishan Zhang,et al.  An Evaluation of the NSGA-II and MOCell Genetic Algorithms for Self-Management Planning in a Pervasive Service Middleware , 2009, 2009 14th IEEE International Conference on Engineering of Complex Computer Systems.

[13]  Valérie Issarny,et al.  Service Oriented Middleware for the Internet of Things: A Perspective - (Invited Paper) , 2011, ServiceWave.

[14]  Kamin Whitehouse,et al.  Semantic Streams: A Framework for Composable Semantic Interpretation of Sensor Data , 2006, EWSN.

[15]  Peter Rosengren,et al.  A Development Platform for Integrating Wireless Devices and Sensors into Ambient Intelligence Systems , 2009, 2009 6th IEEE Annual Communications Society Conference on Sensor, Mesh and Ad Hoc Communications and Networks Workshops.

[16]  Weishan Zhang,et al.  Semantic Web Based Self-Management for a Pervasive Service Middleware , 2008, 2008 Second IEEE International Conference on Self-Adaptive and Self-Organizing Systems.

[17]  Markus Eurich,et al.  The SENSEI project: integrating the physical world with the digital world of the network of the future , 2009 .

[18]  Karl Aberer,et al.  Infrastructure for Data Processing in Large-Scale Interconnected Sensor Networks , 2007, 2007 International Conference on Mobile Data Management.

[19]  Michael Compton,et al.  The Semantic Sensor Network Ontology: A Generic Language to Describe Sensor Assets , 2009 .

[20]  Nalini Venkatasubramanian,et al.  Middleware for Pervasive Spaces: Balancing Privacy and Utility , 2009, Middleware.

[21]  Danh Le Phuoc,et al.  Linked Open Data in Sensor Data Mashups, , 2009, SSN.