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, environ- ment). 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 in sensor network modeling. However, some 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); (iii) representing the diverse data (scalar/multimedia) needed for various applications (e.g., event detection); and (iv) proposing a generic model to allow re-usability in various application domains. In this paper, we propose Hybrid-SSN, an ontology that extends the Semantic Sensor Network (SSN) ontology. SSN is already re-usable (widely used in different contexts), and considers various platforms. Our proposal extends the representation of sensors, sensed data/properties, and deployment environments. We evaluate the consistency of our 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
Collaborators
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.
Contributions
Extension of the SSN ontology in order to include:
- Mobility-related concepts
- Platform-related concepts
- Data-related concepts