Hybrid-SSN: An Ontology For Semantic Mobile Sensor Networks

Project Overview

Recent advances in sensor technology, have allowed sensor networks to impact a large spectrum of domains (e.g., health, environment). These networks generate huge amounts of heterogeneous data, that is hard to represent, share, and integrate. Therefore, semantic web techniques, such as ontologies, have been widely adopted for information representation. However, existing works do not fully address the following challenges: (i) representing different sensor types (e.g., mobile sensors), in order to enrich the network with different data and ensure better coverage; (ii) representing a variety of platforms (e.g., environments, devices) for sensor deployment, therefore, integrating new components (e.g., mobile phones); and (iii) representing the diverse data (scalar/multimedia) needed for various applications (e.g., event detection). In this paper, we propose Mob-SSN, an ontology that extends the Semantic Sensor Network (SSN) ontology. SSN is widely used in various contexts, and considers various platforms. Our proposal extends the representation of sensors, sensed data/properties, and deployment environments. We finally evaluate the consistency of the ontology structure, the accuracy of our additions, and their impact on performance.

Research Areas

  • Computer Science
  • Semantic Web
  • Sensor Networks

PhD Student

Elio Mansour

Project Members

  • Richard Chbeir
  • Philippe Arnould


The LIUPPA (laboratory) 

Located in Anglet – France, is a computer science laboratory related to the “Université de PAU et des Pays de l’Adour” (UPPA), and interested in the formalization of digital ecosystems in multimedia sensory networks and microgrids.


Extension of the SSN ontology in order to include:

  1. Mobility-related concepts
  2. Platform-related concepts
  3. Data-related concepts