Knowledge Management for Trusted Semantic Sensing Networks


6 Νοε 2013 (πριν από 4 χρόνια και 6 μήνες)

86 εμφανίσεις

Knowledge Management for Trusted Semantic Sensing Networks

William K. McQuay
Technical Advisor
Distributed Collaborative Sensing
Autonomic Trusted Sensing for Persistent Intelligence (ATSPI) Division
Sensors Directorate
Air Force Research Laboratory (AFRL)

Over the last several decades, both the defense and commercial sectors have developed a
wide variety of new sensors, platform types, and operational concepts such as the global
grid, grid of grids, sensing nets and webs, and networked centric operations. New
knowledge management technology solutions are needed to support edge users and
network operators who must function across heterogeneous networks to determine health
of the nodes and networks, and provide dynamic and autonomic responses to attacks
including reconfiguration, recovery, and reconstitution. Semantic technologies provide
significant promise in easing access to data, increased interoperability, organizing
information to support greater understanding, and providing overall situation awareness
for cyberspace. This presentation will address key technical challenges in knowledge
management for trusted sensing networks.

Mr. McQuay is Technical Advisor, Distributed Collaborative Sensing, Autonomic
Trusted Sensing for Persistent Intelligence (ATSPI) Division, Sensors Directorate, Air
Force Research Laboratory, Wright Research Site. He is an internationally recognized
expert in modeling and simulation and distributed collaborative environment technology.
He has over 40 years experience in research for information technology, avionics
systems, and advanced distributed simulation technology. He currently provides
technical direction on research in executable models of architectures for trusted
distributed, collaborative sensor systems and sensor grids, and decision support and
predictive analytics for autonomic sensor systems. In 2003, Mr. McQuay was selected as
an AFRL Fellow for life time achievements and significant advancements in modeling
and simulation technologies and collaborative sciences.