Semantic information and sensor networks
Year: 2009
Type: conference-paper
Abstract: Embedded Networked Sensing involves untethered, networked devices tightly coupled to the physical world, to monitor and interact with it. Raw sensor observation can be annotated with semantic metadata to provide interpretation and context for it. In this paper, we discuss what, why and how of semantic sensor data and semantic sensor networks. Specifically, we explore (i) benefits of augmenting sensor data with semantics, (ii) domain-specific and spatio-temporal problems to be addressed, (iii) role of knowledge representation and reasoning (Semantic Web technology), and (iv) standardization efforts underway to make sensor-related data and sensor observations widely available.
Institution: Wright State University
Language: English
Topic: Semantic Web and Ontologies
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2089748094