Knowledge management system and method
In a method of managing knowledge, existing knowledge is captured in a predetermined format of selected information categories, the captured knowledge is organized into an indexed database of information including links between related information, new knowledge is acquired and captured in the predetermined format, and the database is updated to include the new information and links between the new information and related information.
1. A computer-implemented method for managing knowledge data in a knowledge database, comprising:
capturing and storing existing knowledge data in the knowledge database based on a predetermined format of selected information categories grouped in a plurality of workflows, wherein each of said workflows includes a sequence of steps, wherein each step is linked to at least one other step in chronological or logical manner, and each step is built through a user defined form of a plurality of different forms having information fields containing one or more links;
abstracting the captured knowledge data using meta data;
organizing the abstracted captured knowledge data into an index in the knowledge database having information including links between related knowledge data, the index structured according to the abstracted captured knowledge data;
acquiring new knowledge data by using user-defined forms of said plurality of different forms;
capturing and storing the new knowledge data in said predetermined format; and
updating the knowledge database to include the new knowledge data and links between the new knowledge data and related knowledge data.
2. The computer-implemented method of claim 1 , wherein said capturing the new knowledge data further comprises:
identifying the most critical element of the new knowledge data.
3. The computer-implemented method of claim 1 , further comprising:
providing timely and relevant information to a selected user based on predefined and user-modifiable preferences.
4. The computer-implemented method of claim 1 , wherein said existing knowledge data and said new knowledge data are presented in a hierarchical tree.
5. The computer-implemented method of claim 1 , wherein said existing knowledge data and said new knowledge data include a plurality of human-based processes.
6. The computer-implemented method of claim 5 , wherein said plurality of human-based processes include business and management processes.
7. The computer-implemented method of claim 5 , wherein said plurality of human-based processes include engineering processes.
8. The computer-implemented method of claim 1 , further comprising:
remotely accessing said knowledge database via a network of computers.
9. The computer-implemented method of claim 1 , further comprising:
applying knowledge data to a task; and
tracking progress on said task.
10. The computer-implemented method of claim 1 , further comprising:
annotating the new knowledge data.
11. The computer-implemented method of claim 1 , further comprising:
setting up a plurality of criteria associated with the new knowledge data, said plurality of criteria modifying said links between the new knowledge data and related knowledge data based in said plurality of criteria.
12. The computer-implemented method of claim 1 , wherein said knowledge database includes fields defined by the captured existing knowledge data and the new knowledge data.
13. A program storage device readable by a computer, tangibly embodying a program of instructions executable by a processor of the computer to perform a method for managing knowledge data in a knowledge database, the method including:
capturing and storing existing knowledge data in the knowledge database based on a predetermined format of selected information categories grouped in a plurality of workflows, wherein each of said workflows includes a sequence of steps, wherein each step is linked to at least one other step in chronological or logical manner, and each step is built through a user defined form of a plurality of different forms having information fields containing one or more links;
abstracting the captured knowledge data using meta data;
organizing the abstracted captured knowledge data into an index in the knowledge database having information including links between related knowledge data, the index structured according to the abstracted captured knowledge data;
acquiring new knowledge data by using user-defined forms of said plurality of different forms;
capturing and storing the new knowledge data in said predetermined format; and
updating the knowledge database to include the new knowledge data and links between the new knowledge data and related knowledge data.