Extracting information from input data using a semantic cognition network
First Claim
1. A method for extracting information from input data, comprising:
- (a) mapping said input data into a data object network, said input data comprising semantic units, wherein a semantic cognition network comprises said data object network, a class object network and a processing object network, said semantic cognition network using a set of algorithms to process said semantic units;
(b) defining a processing object in said processing object network by selecting a data domain in said data object network, a class domain in said class object network and an algorithm from said set of algorithms, said processing object comprising said data domain, said class domain and said algorithm;
(c) processing said semantic units in said processing object network using said processing object.
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Abstract
A method is disclosed for extracting information from input data comprising mapping of the input data into a data object network. The method uses a semantic cognition network comprised of the data object network, a class object network and a processing object network. The semantic cognition network uses a set of algorithms to process the semantic units. The semantic cognition network defines a processing object in the processing object network by selecting a data domain in the data object network, a class domain in the class object network and an algorithm from the set of algorithms. The processing object comprises the data domain, the class domain and the algorithm. The processing object is used in the processing object network to process the semantic units.
26 Citations
32 Claims
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1. A method for extracting information from input data, comprising:
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(a) mapping said input data into a data object network, said input data comprising semantic units, wherein a semantic cognition network comprises said data object network, a class object network and a processing object network, said semantic cognition network using a set of algorithms to process said semantic units;
(b) defining a processing object in said processing object network by selecting a data domain in said data object network, a class domain in said class object network and an algorithm from said set of algorithms, said processing object comprising said data domain, said class domain and said algorithm;
(c) processing said semantic units in said processing object network using said processing object. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17)
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18. A system for extracting information from input data, comprising:
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mapping means for mapping said input data into a data object network, said input data comprising semantic units, wherein a semantic cognition network comprises said data object network, a class object network and a processing object network, said semantic cognition network using a set of algorithms to process said semantic units;
defining means for defining a processing object in said processing object network by selecting a data domain in said data object network, a class domain in said class object network and an algorithm from said set of algorithms, said processing object comprising said data domain, said class domain and said algorithm;
processing means for processing said semantic units in said processing object network using said processing object. - View Dependent Claims (19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29)
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30. A system for extracting knowledge from a semantic cognition network comprising:
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a data unit network;
a class unit network;
an algorithm unit network, wherein semantic units are networked to each other in each of said data unit network, said class unit network and said algorithm unit network;
defining means for defining a processing unit by selecting a data domain in said data unit network, a class domain in said class unit network and an algorithm domain in said algorithm unit network, each of which being part of said processing unit;
processing means for processing said semantic units in accordance with said data domain, said class domain and said algorithm domain.
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31. A system for extracting information from input data, comprising:
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a data object network having a data domain, said data object network receiving said input data, said input data comprising semantic units;
a class object network having a class domain; and
a processing object network having a processing object, wherein a semantic cognition network comprises said data object network, said class object network and said processing object network, wherein said semantic cognition network uses a set of algorithms to process said semantic units, wherein said processing object comprises said data domain, said class domain and an algorithm from said set of algorithms, and wherein said processing object network processes said semantic units using said processing object. - View Dependent Claims (32)
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Specification