You are here:  Home  >  Uncategorized  >  Current Article

Call for Papers on Semantic Sensing

By   /  July 28, 2011  /  No Comments

The Journal of Web Semantics has issued a call for papers for a special issue on semantic sensing.

The Journal of Web Semantics has issued a call for papers for a special issue on semantic sensing. The call for papers states, “The areas of social media, mobile communication networks, pervasive environments, and Internet of Things are currently converging towards novel integrated communication environments to deliver information in a context-dependent form whenever and wherever the user needs it. In future communication systems, sensors will become a central information provider about the user’s physical environment, which needs to be integrated with the user’s preferences, the user’s online communication channels and social connections along with any relevant information from Web-based information systems. We use the term sensor here to refer to any device that supplies time-dependent information about the real world, including human-generated information.”

It continues, “Semantic technologies are becoming increasingly popular for providing descriptive and structured integration layers for the heterogenous sensor networks and other information sources mentioned above. Semantics are used to describe, map, and reason over the data from these sources by turning the data into machine processable and sharable structured knowledge. On the scientific side this vision requires research into information-driven integration of sensing technologies, self-organization, large-scale stream information management – all with semantics as a core building block to support optimal use of these information sources but also to enable simple and flexible cross-layer integration on a technical level. This knowledge layer on top of the Internet of Things is a critical enabler for the Sensor Web.”

Read more here.

You might also like...

AWS Announces Five New Machine Learning Services Including SageMaker, DeepLens

Read More →