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1. (WO2019032851) SYSTEM AND METHOD FOR DYNAMIC SYNTHESIS AND TRANSIENT CLUSTERING OF SEMANTIC ATTRIBUTIONS FOR FEEDBACK AND ADJUDICATION
Note: Text based on automatic Optical Character Recognition processes. Please use the PDF version for legal matters

WHAT IS CLAIMED IS:

1. A method comprising:

curating disassociated data based on ontology and metadata analysis, thus yielding curated data;

transforming said curated data in accordance with transition rules, thus yielding dynamically clustered associated information;

attributing said dynamically clustered associated information into data in

expandable dimensions, thus yielding attributed data;

constructing derived observations from said attributed data; and

delivering said attributed data and said derived observations to downstream

consuming applications.

2. The method of claim 1 , further comprising:

recognizing that a data clement in said curated data does not meet cluster

association requirements, thus yielding unclustered data;

tagging, with a temporal metadata attribution indicative of unclustered data, data in said disassociated data that corresponds to said data element, thus yielding tagged data; and

re-executing said curating on said tagged data in conjunction with other data elements in said disassociated data.

3. The method of claim 1 , further comprising:

modifying said transition rules in response to said derived observations, thus yielding a change in said transition rules.

4. The method of claim 3, further comprising:

reevaluating said attributed data in said transforming operation, in response to said change in said transition rules.

5. The method of claim 3, further comprising:

performing a data hygiene operation on said curated data, in response to said change in transition rules; and

re-cxccuting said transforming, said attributing, and said constructing.

6. A system comprising:

a processor; and

a memory that contains instructions that are readable by said processor, to cause said processor to perform operations of:

curating disassociated data based on ontology and metadata analysis, thus yielding curated data;

transforming said curated data in accordance with transition rules, thus yielding dynamically clustered associated information;

attributing said dynamically clustered associated information into data in expandable dimensions, thus yielding attributed data;

constructing derived observations from said attributed data; and delivering said attributed data and said derived observations to downstream consuming applications.

7. The system of claim 6, wherein said instructions also cause said processor to perform operations of:

recognizing that a data clement in said curated data does not meet cluster

association requirements, thus yielding unclustered data;

tagging, with a temporal metadata attribution indicative of unclustered data, data in said disassociated data that corresponds to said data element, thus yielding tagged data; and

re-cxccuting said curating on said tagged data in conjunction with other data elements in said disassociated data.

8. The system of claim 6, wherein said instructions also cause said processor to perform an operation of:

modifying said transition rules in response to said derived observations, thus yielding a change in said transition rules.

9. The system of claim 8, wherein said instructions also cause said processor to perform an operation of:

reevaluating said attributed data in said transforming operation, in response to said change in said transition rules.

10. The system of claim 8, wherein said instructions also cause said processor to perform operations of:

performing a data hygiene operation on said curated data, in response to said change in transition rules; and

re-executing said transforming, said attributing, and said constructing.

1 1. A tangible storage device comprising:

instructions that are readable by a processor, to cause said processor to perform operations of:

curating disassociated data based on ontology and metadata analysis, thus yielding curated data;

transforming said curated data in accordance with transition rules, thus yielding dynamically clustered associated information; attributing said dynamically clustered associated information into data in expandable dimensions, thus yielding attributed data; constructing derived observations from said attributed data; and delivering said attributed data and said derived observations to downstream consuming applications.

12. The tangible storage device of claim 1 1, wherein said instructions also cause said processor to perform operations of:

recognizing that a data element in said curated data does not meet cluster

association requirements, thus yielding unchistered data;

tagging, with a temporal metadata attribution indicative of uncluttered data, data in said disassociated data that corresponds to said data element, thus yielding tagged data; and

rc-cxccuting said curating on said tagged data in conjunction with other data elements in said disassociated data.

13. The tangible storage device of claim 11, wherein said instructions also cause said processor to perform an operation of:

modifying said transition rules in response to said derived observations, thus yielding a change in said transition rules.

14. The tangible storage device of claim 13, wherein said instructions also cause said processor to perform an operation of:

reevaluating said attributed data in said transforming operation, in response to said change in said transition rules.

15. The tangible storage device of claim 13, wherein said instructions also cause said processor to perform an operation of:

performing a data hygiene operation on said curated data, in response to said change in transition rules; and

re-executing said transforming, said attributing, and said constructing.