Difference between revisions of "PCSS"
(→Projects) |
(→Projects) |
||
| Line 6: | Line 6: | ||
==Projects== | ==Projects== | ||
===Semantics in Rescue Environment=== | ===Semantics in Rescue Environment=== | ||
| − | + | [http://wiki.knoesis.org/index.php/Main_Page/SECURE SECURE] is a project in which we are using a cyber-physical-system like a robot for identifying various types of fires using ontology of perception and background knowledge of the domain. | |
====Perceiving the Environment==== | ====Perceiving the Environment==== | ||
In this project, we study the use of background knowledge by rescue robots. The goal is to study the use of background knowledge to create abstractions of sensor data as a starting point. These abstractions are human intelligible and makes the first responders better understand the situation. These abstractions are derived from raw sensor observations using the [http://wiki.knoesis.org/index.php/Ontology_of_Perception perception process]. | In this project, we study the use of background knowledge by rescue robots. The goal is to study the use of background knowledge to create abstractions of sensor data as a starting point. These abstractions are human intelligible and makes the first responders better understand the situation. These abstractions are derived from raw sensor observations using the [http://wiki.knoesis.org/index.php/Ontology_of_Perception perception process]. | ||
Revision as of 02:13, 15 October 2011
Contents
Physical-Cyber-Social Systems
There is increasing amount of data on the web which is a collection of human knowledge and experience. Machines, when enabled access to this huge knowledge on the web, can not only empower them with an ability to interpret the observations they make, but also learn concepts from the observations. This ability of machines to interpret observations and deriving concepts form them can lead to powerful and smart machines which enhance the Human Experience.
We present a physical-cyber-social system, a Semantic Web research effort that exploits background knowledge and abductive reasoning realized in OWL which is basically deductive in nature. We present use of semantic knowledge base and abductive reasoning for processing realtime sensor data to derive human intelligible abstractions. This system shows identification of a fire from mobile platform mounted sensors sending realtime data streams.
Projects
Semantics in Rescue Environment
SECURE is a project in which we are using a cyber-physical-system like a robot for identifying various types of fires using ontology of perception and background knowledge of the domain.
Perceiving the Environment
In this project, we study the use of background knowledge by rescue robots. The goal is to study the use of background knowledge to create abstractions of sensor data as a starting point. These abstractions are human intelligible and makes the first responders better understand the situation. These abstractions are derived from raw sensor observations using the perception process.
