Difference between revisions of "Intellego"
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| − | ==Ontology of Perception: <strong>IntellegO</strong> | + | ==Ontology of Perception: <strong>IntellegO</strong>== |
Today, many sensor networks and their applications employ a brute force approach to collecting and analyzing sensor data. Such an approach often wastes valuable energy and computational resources by unnecessarily tasking sensors and generating observations of minimal use. People, on the other hand, have evolved sophisticated mechanisms to efficiently perceive their environment. One such mechanism includes the use of background knowledge to determine what aspects of the environment to focus our attention. In this project, we develop an ontology of perception, IntellegO, that may be used to more efficiently convert observations into perceptions. IntellegO is derived from cognitive theory, encoded in set-theory, and provides a formal semantics of machine perception. | Today, many sensor networks and their applications employ a brute force approach to collecting and analyzing sensor data. Such an approach often wastes valuable energy and computational resources by unnecessarily tasking sensors and generating observations of minimal use. People, on the other hand, have evolved sophisticated mechanisms to efficiently perceive their environment. One such mechanism includes the use of background knowledge to determine what aspects of the environment to focus our attention. In this project, we develop an ontology of perception, IntellegO, that may be used to more efficiently convert observations into perceptions. IntellegO is derived from cognitive theory, encoded in set-theory, and provides a formal semantics of machine perception. | ||
| − | + | <i>Intellego (Greek: "to perceive")</i> | |
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| − | + | ==Specification of IntellegO (in Set-Theory)== | |
| − | [[Image: | + | [[Image:Set-theory.jpg|none|thumb|500px| Figure 4. Specification of Perception Cycle in Set Theory.]] |
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==Ontologies and Knowledge Bases== | ==Ontologies and Knowledge Bases== | ||
| − | + | * [http://sonicbanana.cs.wright.edu/activeperception/ont/perception.owl IntellegO-OWL] | |
| − | [[ | + | * [http://purl.oclc.org/NET/ssnx/ssn Sensor and Sensor Network (SSN) Ontology] ([http://www.w3.org/2005/Incubator/ssn/wiki/ wiki]) |
| + | * [http://sonicbanana.cs.wright.edu/activeperception/ont/weather.owl Weather Ontology] | ||
| + | * [http://linkedsensordata.com Linked Sensor Data] | ||
| − | + | ==Focus Evaluation== | |
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| − | == | + | |
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====Percepts Generated during Evaluation: # and %==== | ====Percepts Generated during Evaluation: # and %==== | ||
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====Theories Generated during Evaluation==== | ====Theories Generated during Evaluation==== | ||
[[Image:trend_theory.jpg|none|thumb|600px| Figure 13. ]] | [[Image:trend_theory.jpg|none|thumb|600px| Figure 13. ]] | ||
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| + | ====Evaluation Datasets==== | ||
| + | *[http://sonicbanana.cs.wright.edu/activeperception/all_active_25miles.zip 25 miles (17 observers)] | ||
| + | *[http://sonicbanana.cs.wright.edu/activeperception/all_active_50miles.zip 50 miles (70 observers)] | ||
| + | *[http://sonicbanana.cs.wright.edu/activeperception/all_active_100miles.zip 100 miles (170 observers)] | ||
| + | *[http://sonicbanana.cs.wright.edu/activeperception/all_active_200miles.zip 200 miles (373 observers)] | ||
| + | *[http://sonicbanana.cs.wright.edu/activeperception/all_active_400miles.zip 400 miles (516 observers)] | ||
Revision as of 15:56, 30 May 2011
Contents
Ontology of Perception: IntellegO
Today, many sensor networks and their applications employ a brute force approach to collecting and analyzing sensor data. Such an approach often wastes valuable energy and computational resources by unnecessarily tasking sensors and generating observations of minimal use. People, on the other hand, have evolved sophisticated mechanisms to efficiently perceive their environment. One such mechanism includes the use of background knowledge to determine what aspects of the environment to focus our attention. In this project, we develop an ontology of perception, IntellegO, that may be used to more efficiently convert observations into perceptions. IntellegO is derived from cognitive theory, encoded in set-theory, and provides a formal semantics of machine perception.
Intellego (Greek: "to perceive")
Specification of IntellegO (in Set-Theory)
Ontologies and Knowledge Bases
Focus Evaluation
Percepts Generated during Evaluation: # and %
(p = precipitation, t = temperature, w = wind speed)
25 miles (17 observers)
50 miles (70 observers)
100 miles (170 observers)
200 miles (373 observers)
400 miles (516 observers>
Percepts Generated during Evaluation: Trends
Grounded Percepts
Extraneous Percepts
Theories Generated during Evaluation
