Introduction
The semantic web has the potential to change the way we use the web but profoundly the way our machines use the web. With the semantic web, our computer would read the traffic report and will flash a message or say “Hi Bob (assuming Bob owns the computer), it seems Galaxy road is choked today you need to find another route.”
Let us extend this scenario to Bob’s (our sample character) smart car. Bob works at the city mall. Bob’s car has a GPS in it but not just any GPS a smart one that records the most frequently visited places by Bob. So, Bob wakes up one morning late, he did not have the time to read the traffic report. When he got into his car, the car says “Good morning Sir, there is heavy traffic on Galaxy road and I suggest you use Nebula road because it is free.” The car may have read the traffic report on the semantic web or it just communicated with the traffic monitoring systems on the route. It interprets the report and it gave Bob an option. It did not just give Bob the traffic report and leave Bob to decide. If the car were to drive it self it will probably just ask Bob’s permission to take Nebula road since it knows Galaxy road is heavy with traffic.
Using the semantic web with robotics will create a generation of robots that are only limited by their hardware, robots will probably have access to so much information that we may have robots exhibiting and imitation of human emotions probably because it was able to decipher a semantic site the offers the knowledge.
Manufacturing plants and assembly lines using computer Aided Manufacturing Stand to gain a lot from the semantic web. A ready example is an assembly that connects to a semantic equivalent of an organizations customer service site. The assembly line realizes that people tend to demand for a particular brand more than the others and that the organization may be due to equal number of different product policy is not usually meeting the demand for that particular unit. The assembly line can take a decision to produce more of that product.
A suggested research objective will be to design a framework by which robots can access the semantic web and use the semantic web as their knowledge base in order words use the semantic web as the mind of the robots. The research will involve the use of ontology to represent knowledge and also to allow peer-to-peer communication between autonomous robots. This will enhance collaboration between autonomous robots. A robot may be limited by its hardware but it can ask another robot with the required hardware to help out.
Related Work
Grounding Robot Sensory and Symbolic Information using the Semantic Web by Christopher Stanton and Mary-Anne Williams of Innovation and Technology Research Laboratory Faculty of Information Technology University of Technology, Sydney, Australia [1] is very much related to this redaction. Christopher Stanton and Mary-Anne Williams implemented grounding using ontologies designed for the Semantic Web. They used SONY AIBO robots and the robot soccer domain to illustrate their approach.
Ontologies can provide an important bridge between the perceptual level and the symbolic level and in so doing they can be used to ground sensory information [1].
References
[1] Grounding Robot Sensory and Symbolic Information using the Semantic Web by Christopher Stanton and Mary-Anne Williams of Innovation and Technology Research Laboratory Faculty of Information Technology University of Technology, Sydney, Australia
The semantic web has the potential to change the way we use the web but profoundly the way our machines use the web. With the semantic web, our computer would read the traffic report and will flash a message or say “Hi Bob (assuming Bob owns the computer), it seems Galaxy road is choked today you need to find another route.”
Let us extend this scenario to Bob’s (our sample character) smart car. Bob works at the city mall. Bob’s car has a GPS in it but not just any GPS a smart one that records the most frequently visited places by Bob. So, Bob wakes up one morning late, he did not have the time to read the traffic report. When he got into his car, the car says “Good morning Sir, there is heavy traffic on Galaxy road and I suggest you use Nebula road because it is free.” The car may have read the traffic report on the semantic web or it just communicated with the traffic monitoring systems on the route. It interprets the report and it gave Bob an option. It did not just give Bob the traffic report and leave Bob to decide. If the car were to drive it self it will probably just ask Bob’s permission to take Nebula road since it knows Galaxy road is heavy with traffic.
Using the semantic web with robotics will create a generation of robots that are only limited by their hardware, robots will probably have access to so much information that we may have robots exhibiting and imitation of human emotions probably because it was able to decipher a semantic site the offers the knowledge.
Manufacturing plants and assembly lines using computer Aided Manufacturing Stand to gain a lot from the semantic web. A ready example is an assembly that connects to a semantic equivalent of an organizations customer service site. The assembly line realizes that people tend to demand for a particular brand more than the others and that the organization may be due to equal number of different product policy is not usually meeting the demand for that particular unit. The assembly line can take a decision to produce more of that product.
A suggested research objective will be to design a framework by which robots can access the semantic web and use the semantic web as their knowledge base in order words use the semantic web as the mind of the robots. The research will involve the use of ontology to represent knowledge and also to allow peer-to-peer communication between autonomous robots. This will enhance collaboration between autonomous robots. A robot may be limited by its hardware but it can ask another robot with the required hardware to help out.
Related Work
Grounding Robot Sensory and Symbolic Information using the Semantic Web by Christopher Stanton and Mary-Anne Williams of Innovation and Technology Research Laboratory Faculty of Information Technology University of Technology, Sydney, Australia [1] is very much related to this redaction. Christopher Stanton and Mary-Anne Williams implemented grounding using ontologies designed for the Semantic Web. They used SONY AIBO robots and the robot soccer domain to illustrate their approach.
Ontologies can provide an important bridge between the perceptual level and the symbolic level and in so doing they can be used to ground sensory information [1].
References
[1] Grounding Robot Sensory and Symbolic Information using the Semantic Web by Christopher Stanton and Mary-Anne Williams of Innovation and Technology Research Laboratory Faculty of Information Technology University of Technology, Sydney, Australia
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