Computer assisted domain specific entity mapping method and system
First Claim
1. A computer-implemented method for mapping data entities comprising:
- defining a domain including a plurality of classification axes and a plurality of classification labels for each axis, and an association list of attributes associated with the axes and labels, at least one axis, label or attribute including an image feature, a waveform feature, an audio feature, a video feature or any combination thereof;
accessing a plurality of data entities potentially having attributes of interest;
identifying data entities having attributes corresponding to the axes and labels based upon the association list; and
classifying the identified data entities in accordance with the corresponding attributes.
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Accused Products
Abstract
A technique for identifying, analyzing, structuring, mapping and classifying data entities is disclosed. A conceptual framework is established by a domain definition having an association list of attributes of interest. Data entities are accessed, analyzed, structured if appropriate, mapped and classified in accordance with the association list and attributes found in the entities, and in accordance with rules and algorithms for analyzing, recognizing and classifying the attributes. Various types of analysis may be performed following the classification. Searches and selection of the data entities may also be performed. Complex data entities may be processed, including text documents, image data, audio data, waveform data, and combinations of these.
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Citations
20 Claims
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1. A computer-implemented method for mapping data entities comprising:
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defining a domain including a plurality of classification axes and a plurality of classification labels for each axis, and an association list of attributes associated with the axes and labels, at least one axis, label or attribute including an image feature, a waveform feature, an audio feature, a video feature or any combination thereof;
accessing a plurality of data entities potentially having attributes of interest;
identifying data entities having attributes corresponding to the axes and labels based upon the association list; and
classifying the identified data entities in accordance with the corresponding attributes. - View Dependent Claims (2, 3, 4, 6, 7)
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8. A computer-implemented method for mapping data entities comprising:
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accessing a plurality of data entities potentially having attributes of interest; and
classifying the data entities based upon a domain definition including a plurality of classification axes, a plurality of classification labels for each axis, and an association list of attributes associated with the axes and labels to classify data entities having attributes corresponding to the axes and labels, wherein at least one axis, label or attribute including an image feature, a waveform feature, an audio feature, a video feature or any combination thereof. - View Dependent Claims (9, 10, 11, 12)
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17. A computer-implemented method for mapping data entities comprising:
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defining a domain including at least one classification axes and a plurality of classification labels the axis, and an association list of attributes associated with the labels, at least one label or attribute including an image feature, a waveform feature, an audio feature, a video feature or any combination thereof of interest for diagnosing a medical condition;
accessing a data entity potentially having attributes of interest;
identifying in the data entity attributes corresponding to the labels based upon the association list; and
classifying the data entity in accordance with the corresponding attributes for the diagnosis of the medical condition. - View Dependent Claims (18, 19, 20)
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Specification