InnovationQ will be updated on Sunday, Oct. 22, from 10am ET - noon. You may experience brief service interruptions during that time.
Browse Prior Art Database

Knowledge Management for Updating Business Process Based on Financial Index

IP.com Disclosure Number: IPCOM000033613D
Original Publication Date: 2004-Dec-20
Included in the Prior Art Database: 2004-Dec-20
Document File: 5 page(s) / 39K

Publishing Venue



A subject to be solved in this disclosure is relevant to a knowledge management system for constructing and maintaining a business knowledge database, and updating adaptively according to changes of business process operation. For this purpose, based on ranking and indicating the importance of the accumulated knowledge classified by the following three elements: the financial condition of the operation area corresponding to the keyword extracted by clustering from the database, a user's input statistics of using-satisfaction, and the number of times of knowledge retrieval, this proposed method and apparatus update the contents of the database as follows: a more detailed description is added when the business operation knowledge is located in a higher rank, and the fusion of description, simplification, or the updating stops also including correspondence business is carried out when the knowledge in a lower rank.

This text was extracted from a PDF file.
At least one non-text object (such as an image or picture) has been suppressed.
This is the abbreviated version, containing approximately 30% of the total text.

Page 1 of 5

Knowledge Management for Updating Business Process Based on Financial Index

Disclosed are a method and an apparatus which support the adaptive building and maintenance of a business knowledge database by adaptively changing the degree of description regarding business process knowledge mainly based on relation between the described knowledge and its financial value. For this purpose, first we construct a database which classifies and describes fundamental knowledge in the shape of a tree followed by the keyword-extraction using a clustering method. Then, this disclosed method and apparatus put the corresponding knowledge-clusters whose sizes represent the number of times of knowledge retrieval in a space spanned by some axes, one of which corresponds to a financial index of the business area relevant to the extracted keywords to show ranking by the financial value, and another of which shows ranking of the evaluated degree of the knowledge based on input statistics of satisfaction by users when the described knowledge is actually used. Finally, using this obtained graph/figure, this proposed method and apparatus support making decisions to decide which business knowledge is important, whether the degree of description detailed should be raised further, or it should merge with other knowledge.

Generally business knowledge takes a various form; it may be an application form itself, or it may be a manual about specific business. Since correlation between knowledges changes with time, the database for business knowledge should have flexible structure. That is, business knowledge is always updated. For example, if the database is constructed based on an architecture having a field domain into which data is put, and a form/view for showing these data, system users can easily reflect their intention to the database only by changing the form/view, or by adding a new field corresponding to the change or its renewal of data. That is, for cases that someone wants to add form, or to add a new item in the future, it is desirable that the database has the pliability which does not need to redo a re-design like normalization for avoiding inconsistency. While the decomposed knowledge will be entered in these field domains, the resolution of knowledge decomposition may evolve depending on the degree of maturity of the focusing system. Generally such knowledge is accumulated through some stages: when the business knowledge database is constructed, some phase divisions are required and these phase divisions should be from the phase of coarse resolution into the phase of fine. Such general procedures have been discussed as a framework of knowledge management. However, it has been dependent on designer's or an administrator's experiment how it is performed concretely in many cases.

Then, this disclosure describes a method and an apparatus to support decision that the focusing knowledge should be updated or improved and the focusing knowledge is approp...