Knowledge gathering system based on user's affinity
View Patent ↗A system, method, and processor readable medium for processing data in a knowledge management system gathers information content and transmits a work request for the information content gathered. The information content may be registered with a K-map and assigned a unique document identifier. A work queue processes the work requests. The processed information may then be transmitted to another work queue for further processing. Further processing may include categorization, full-text indexing, metrics extraction or other process. Control messages may be transmitted to one or more users providing a status of the work request. The information may be analyzed and further indexed. A progress statistics report may be generated for each of the processes performed on the document. The progress statistics may be provided in a record. A shared access to a central data structure representing the metrics history and taxonomy may be provided for all work queues via a CORBA service.
1. A computer-implemented method of knowledge processing, comprising:
periodically monitoring, using a computer hardware system, contents of documents stored in one or more data repositories;
identifying, using the computer hardware system, a match between:
(i) a content of a document stored within the one or more data repositories, and
(ii) an affinity of a user;
gathering, based upon the identified match and from the one or more data repositories, one or more documents with contents that match the affinity of the user; and
notifying the user that the one or more documents with contents that match the affinity of the user have been gathered, wherein
the identifying is performed automatically and contemporaneously with the periodic monitoring;
the identified match is used to modify a knowledge map; and
the gathering, based upon the identified match, uses the knowledge map.
2. The method of claim 1 , further comprising
organizing the one or more gathered documents into categories.
3. The method of claim 1 , wherein
the one or more data repositories are non-web based data repositories.
4. The method of claim 1 , wherein
the periodically monitoring is performed on a predetermined schedule.
5. The method of claim 4 , wherein
the predetermined schedule is based upon a selection by the user.
6. The method of claim 1 , wherein
at least one of the one or more data repositories is selected by the user.
7. A computer hardware system configured for knowledge processing, comprising:
at least one processor, wherein the at least one processor is configured to initiate and/or perform:
periodically monitoring, using a computer hardware system, contents of documents stored in one or more data repositories;
identifying, using the computer hardware system, a match between:
(i) a content of a document stored within the one or more data repositories, and
(ii) an affinity of a user;
gathering, based upon the identified match and from the one or more data repositories, one or more documents with contents that match the affinity of the user; and
notifying the user that the one or more documents with contents that match the affinity of the user have been gathered, wherein
the identifying is performed automatically and contemporaneously with the periodic monitoring;
the identified match is used to modify a knowledge map; and
the gathering, based upon the identified match, uses the knowledge map.
8. The system of claim 7 , wherein the at least one processor is further configured to initiate and/or perform:
organizing the one or more gathered documents into categories.
9. The system of claim 7 , wherein
the one or more data repositories are non-web based data repositories.
10. The system of claim 7 , wherein
the periodically monitoring is performed on a predetermined schedule.
11. The system of claim 10 , wherein
the predetermined schedule is based upon a selection by the user.
12. The system of claim 7 , wherein
at least one of the one or more data repositories is selected by the user.