Natural language processing methods and systems
First Claim
1. A computer implemented method for enriching an input network with knowledge from a fractal semantic knowledge network, wherein said input network comprises objects and pointers between said objects, and the knowledge network comprises semantic units and a plurality of modules arranged in a fractal semantic network, whereby any one of said modules is associated with one or more of said semantic units such that the respective module is able to operate on the one or more of said semantic units, said method comprising the steps of:
- a. finding a counterpart element for an object or a pointer by looking for a semantic unit that is related to the object or the pointer;
b. establishing a classification connection between the object or the pointer and its counterpart element;
c. assigning the module that is associated with the counterpart element, if any, to the object or the pointer;
d. determining the neighborhood of the object or the pointer in the input network and the neighborhood of the counterpart element in the knowledge network, and comparing the neighborhoods to verify the classification connection.
1 Assignment
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Abstract
Scheme for enriching an input network with knowledge from a fractal semantic knowledge network. The input network comprises objects and pointers between these objects, and the knowledge network comprises semantic units, and a plurality of Jani, whereby any of these Jani is associated with one or more of the semantic units such that the respective Janus is able to operate on one or more of the semantic units. The following steps are carried out: finding a counterpart element for an object or a pointer by looking for a semantic unit that is related to the object or the pointer; establishing a classification connection between the object or the pointer and its counterpart element; assigning the module that is associated with the counterpart element, if any, to the object or the pointer; examining the objects'"'"' or the pointers'"'"' neighborhoods in the input network by comparing them with the counterpart elements'"'"' neighborhoods in knowledge network to verify the classification connection.
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Citations
36 Claims
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1. A computer implemented method for enriching an input network with knowledge from a fractal semantic knowledge network, wherein said input network comprises objects and pointers between said objects, and the knowledge network comprises semantic units and a plurality of modules arranged in a fractal semantic network, whereby any one of said modules is associated with one or more of said semantic units such that the respective module is able to operate on the one or more of said semantic units, said method comprising the steps of:
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a. finding a counterpart element for an object or a pointer by looking for a semantic unit that is related to the object or the pointer;
b. establishing a classification connection between the object or the pointer and its counterpart element;
c. assigning the module that is associated with the counterpart element, if any, to the object or the pointer;
d. determining the neighborhood of the object or the pointer in the input network and the neighborhood of the counterpart element in the knowledge network, and comparing the neighborhoods to verify the classification connection. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24)
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25. A computer implemented software module being assignable to an object or a pointer of an input network, whereby said software module when being triggered, performs the steps of:
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comparing the neighborhood of the object or pointer to which it is assigned with a neighborhood of a counterpart element of a fractal semantic knowledge network in order to verify a classification connection between said object or pointer to which it is assigned and the counterpart element;
updating a classification value (Cx) of the classification connection if the neighborhood of said object or pointer in the input network resembles the neighborhood of the counterpart element in the knowledge network. - View Dependent Claims (26, 27, 28, 29)
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30. A computer implemented software module being assignable to an object or a pointer of an input network, whereby said software module when being triggered, performs the steps of:
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looking for semantic units in a fractal semantic knowledge database which belong to a counterpart segment on a higher level of hierarchy; and
if such a counterpart segment is identified,creating a new segment unit in the input network, and creating a classification connection from the new segment unit to the counterpart segment. - View Dependent Claims (31, 32, 33)
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34. A natural language processing system implemented in a computer for enriching an input network with knowledge from a fractal semantic knowledge network, whereby the input network comprises objects and pointers between said objects, and the knowledge network comprises semantic units, the system comprising:
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a module for finding a counterpart element for an object or a pointer by looking for a semantic unit that is related to the object or the pointer;
a module for establishing a classification connection between the object or the pointer and its counterpart element;
a module for examining the objects'"'"' or the pointers'"'"' neighborhoods in the input network by comparing them with the counterpart elements'"'"' neighborhoods in knowledge network to verify the classification connection. - View Dependent Claims (35, 36)
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Specification