Computing for Human Experience: Semantics Empowered Sensors, Services, Social and Ubiquitous Computing in Web 3.0 and Beyond
Today systems, devices, sensors, data, and human participation enable something more than a human instructs machine paradigm. Traditionally, we had to artificially simplify the complexity and richness of the real world to constrained computer models and languages for more efficient computation. Now embedded, mobile, and fixed sensors as well as human-in-the-loop citizen sensing, social computing, and ubiquitous Web access work in concert to provide a rich context for recognizing events and support situational awareness. This includes incorporating thematic (what), temporal (when), spatial (where), causal (why), and other relationships between objects and events. Such progress positions us for what Sheth calls an emerging era of computing for human experience (CHE). Four of the key enablers of CHE are: (a) bridging the physical/digital (cyber) divide, (b) elevating levels of abstractions and utilizing vast background knowledge to enable integration of machine and human perception, (c) convert raw data and observations, ranging from sensors to social media, into understanding of events and situations that are meaningful to humans, and (d) doing all of the above at massive scale covering the Web and humanity. Semantic Web (conceptual models/ontologies and background knowledge, annotations, and reasoning) techniques and technologies play a central role in important tasks such as building context, integrating online and offline interactions, and help enhance human experience in their natural environment.
In this talk Sheth will give a brief background of Kno.e.sis and discuss instances of semantics-empowered services computing, social networking, and sensor Web that point to early capabilities towards CHE.
Sheth, A. P.
(2010). Computing for Human Experience: Semantics Empowered Sensors, Services, Social and Ubiquitous Computing in Web 3.0 and Beyond. .