KR20040089418A - Automatic Generation System of Knowledge in the Open Site - Google Patents

Abstract

PURPOSE: A system for automatically generating knowledge on an open site is provided to automatically generate the knowledge on the open site visited by many and unspecified persons, and safely trade know-how and data by putting various kinds of opinions and estimations for a question, the opinion, an answer, and related data. CONSTITUTION: A question file comprising a question title(210), a question content(220), a purchase price(230), and credit/profile of a questioner(270) is formed. The opinion(250) for the question is given. A knowledge trading system including an EC(Electronic Commerce) system forms the questions and the related data. As a data writer, an expert, and a knowledge manger connect the answers(240) and the related data(260), a cluster is formed. The estimation for the answer and the related data is given from the personal buying the answers and the related data. The estimation for the opinion is given from the questioner, the expert, and the knowledge manager. The opinion, the answer, and the related data recording many views, adopted as the answer, or receiving a high estimation mark(280) are automatically placed to the front of a cluster connection list.

Description

Automatic Generation System of Knowledge in the Open Site

The present invention relates to a method for automatically generating knowledge in an Internet open site (hereinafter referred to as an open site) visited by an unspecified majority.

After the industrial age and information age, we live in the knowledge age. In the knowledge age, a country with more knowledge than a country with a lot of natural resources can become a great power. In the industrial age, workers such as white collar and blue collar can become competitive only when they become knowledge workers.

The proverb that marbles should be worn even at the end of the book is a good example of the difference between knowledge (beads) and knowledge (treasure) such as know-how and materials. In the information age centered on the Internet, the sea of information, a great deal of information and materials are pouring out. So much information and data must be organized, that is, knowledgeable, to be of value.

Recently, many companies are in a hurry to introduce a knowledge management system (KMS) to secure corporate competitiveness. The purpose is to introduce the knowledge management system to share the know-how and data that employees have personally, develop it into company organizational knowledge, and further, to corporateize the organization. To this end, many rewarding systems and incentives have been introduced to encourage employees to participate in building company knowledge.

Many systems have been developed to pursue common purpose and build knowledge in closed organizations, such as corporate organizations, but new systems are needed to build knowledge on open sites that are openly visited by an unspecified number of people over the Internet. In a world where knowledge is a very valuable asset, many people want to operate a new knowledge management system that can maintain and develop their personal knowledge independently without any interference from the company's knowledge management system. .

Even though the marble is a preface, the words "baby treasure" means that a lot of know-how and materials (beads) do not mean that knowledge (baby treasure) is formed by itself. In many places where internet sites are referred to as knowledge sites, they simply collect a lot of information (or materials). No matter how many marbles (information or data), treasures (knowledge) are not made by themselves. Knowledge generation mechanisms are required for knowledge to be created.

In terms of what knowledge is and how it is created, Professor Ikuchiro Nonaka, Japan, explains the general process of knowledge creation (Knowledge Creation Company, Sejong Books, 1998). As shown in FIG. 1, the first process of generating knowledge is a process in which an individual builds know-how. Though not organized and documented, know-how is in the head of an individual (implicitly) and can be passed on to others. This process is called a collaborative process by Professor Nonaka Ikujiro. The next process is the presentation process in which the various know-hows in the tacit are recorded, documented and expressed. The next step is the linking process where the expressed content is linked. What is formed through the linkage process develops into an internalization process that can grow and develop further to form another knowledge. In addition, Professor Kim Hyo-geun of Korea introduces a new concept of knowledge generation by introducing a unique concept of method and description (Publication No. 2002-0017002).

New mechanisms need to be developed to create and maintain knowledge on open sites visited by an unspecified number of people.

In order to generate knowledge in an open site, the components of FIG. 2 are required. First, there should be a questioner who visits with a question and an author who can disclose his know-how and materials. Next we need a visitor to visit the site. Visitors can view open knowledge and make comments. Visitors can be buyers who purchase the knowledge they need and can ask questions. You can also answer a lot of questions, reveal your know-how and resources, and become an expert , or invite outsiders to have experts. You also need a knowledge manager who can manage and operate the site.

Organizations such as corporations apply various incentive systems to share and organize the know-how and data that employees have personally. Open sites that are visited by a large number of unspecified people should have the motivation and opportunity to disclose the materials and know-how they have. You can provide answers to questions with pure motives or provide answers and resources for your professional reputation. However, in order to secure advanced know-how and data, paid transactions of knowledge should be possible. In order for knowledge to be created on an open site, it must be based on a system that can trade knowledge for a fee .

In the data trading system, there may be a shopping mall that sells expert-generated knowledge, and a marketplace in which a large number of unspecified sellers and a large number of unspecified buyers gather and trade. In order to generate new knowledge, it should be based on a marketplace form , not just a mall that sells pre-made knowledge.

The system of FIG. 3 is required for knowledge exchange in the form of marketplaces between an unspecified number of sellers and buyers. Due to the inherent nature of SW know-how and data, unlike general HW products, they lose their commerciality at the time of their release. Therefore, they should be fully explained in an indirect way even if they are not disclosed. In addition, for the unspecified number of transactions, it is necessary to be able to identify the profile and the credibility of those who want to sell know-how and data. There should be a system for evaluating the data by the person or expert who purchased the data first.

The first step in intellectualization begins with asking questions or documenting the know-how you know. Therefore, a system is needed to effectively ask questions or disclose know-how and data. An answer to the question should be provided, which should be able to be written based on the knowledge trading system of FIG. 3. They should not be able to give an accurate answer, but they should be able to provide helpful or helpful comments or suggest relevant resources. In addition, there should be a system for evaluating the answers, opinions and related data presented.

Once the answers to the questions, opinions and related materials, and the assessments are gathered, then they should be able to connect together to form a cluster. This is a prototype of knowledge. Opinions and evaluations of questions and data can be naturally linked, but since answers and related data are prepared separately by the knowledge trading system, a function to link the answers and related data should be presented separately. Linking of answers and related materials can only be made by experts, knowledge managers and authors of answers and related materials.

Various opinions and answers linked to questions and data, and related materials can be evaluated by site visitors, data buyers, experts, knowledge managers, and the like in FIG. Clustered questions, comments, ratings, answers, and related materials are evaluated through views, scores, and answers. Opinions or related materials adopted or answered well by the questioner are collected in the center of the cluster, and those with low ratings may be dropped from the cluster. The degree of knowledge of cluster files is increased by the number of files connected to the knowledge cluster, the number of queries between linked files, and the evaluation score.

1 shows a knowledge generation process (Professor Ikuji Nonaka),

Figure 2 is a component for creating knowledge in OpenSite,

3 shows the components of the knowledge trading system,

4 illustrates a mechanism for generating knowledge offsite;

5 is a question file,

6 shows the data file,

7 is for connecting relevant data,

8 evaluates the data,

9 shows evaluating opinions respectively.

4 shows the mechanism by which knowledge is generated at an open site. First, if a question 110 is given, an opinion on the question may be given (120). The comment 120 on the question may not be an exact answer to the question 110 but may add a similar question and request as a hint to the question and request. In addition, the question 110 may provide an answer (130) or related data for reference (150). The opinion 120 and the answer 130 and the related data 150 which may be a reference to the question 110 may be connected to the question file 110 to form a cluster (170).

5 shows an example of the configuration form for the question file 110. As shown in FIG. 5, first of all, there is a title 210 of the question. There is a specific content 220 for asking a question or requesting material and the price 230 the questioner is willing to pay when the answer is adopted. And there is a picture 240 of the answer presented for this question 110. In order to write an answer or make a related material, a data file as shown in FIG. The file of FIG. 6 comprises a marketplace type trading system in which a transaction is made between a plurality of data sellers and data buyers.

In the data file of FIG. 6, the title 310 of the material and the author's description 330 of the material are given. Site visitors, experts, and the person who bought the material can comment on the material (370). The data can be evaluated by the person, expert and knowledge manager who purchased the data (320). However, before purchasing the material, it is possible to review the author's profile or credit beforehand (350). The author's profile must be created by the author himself, but the creditworthiness of the author is determined by the list of materials, sales history, and evaluation scores of the people who have purchased the material so far. After reviewing all of this, when you want to purchase the material, you can pay via electronic payment 360 and download the material directly. It is also possible to link other data files related to the data file (340).

With respect to the question 110, the answers 130 and 240 written in the form of FIG. 6, the related data 150 and 260, and various opinions 120 and 250 may be connected as shown in FIG. 5 (170). The linked answers 130 and 240 and related materials 150 and 260 are attached to comments (140, 160, 370) and evaluation (140, 160, 320) for each. The linkage of question files to other data files related to the data file (260, 340) can be done by the author, the expert, and the knowledge manager. 7 shows a configuration diagram for connecting related data. Opinions can be made by anyone who visits the open site, but the evaluation of the material can only be made by the person who purchased the material and by the open site's knowledge manager (CKO) and the designated person. 8 and 9 show how to evaluate data and how to evaluate opinions. As shown in FIG. 5, a cluster is formed by various opinions 250, evaluations 280, and related materials 260 and answers 240 connected to a given question 110. Such a cluster can be seen as a basic prototype of knowledge.

Among the answers (240) linked to a given question file, it was adopted as the answer, or the linked comments (250) or the answers (240) and the related materials (260) received a high number of views or a high score (280). May have an order. In other words, many of the linked opinions, answers, and related materials that were adopted or received high ratings will be visible in the answer view 240, view comment 250, and view related document 260 of FIG. The received content may be dropped from the cluster (190).

As we passed through the industrial society and into the knowledge society, it became an era led by knowledge workers instead of white collar and blue collar, and knowledge became the most valuable asset for the individual. Organizations such as corporations are introducing knowledge systems such as knowledge management systems to organize and knowledge the know-how and data of individuals in the company. From a knowledge worker's point of view, there is a need for a new knowledge system that can maintain, create, and develop personal knowledge separately from the knowledge system provided by a company's organization.

The present invention provides a system for automatically generating knowledge at an open site visited by an unspecified number of people, unlike organizations working for a common purpose. Simply gathering a lot of material and information does not generate knowledge by itself, and there is a limit to securing high-quality information and materials as free materials that are open to the public. In addition, unlike companies, it is not possible to provide separate incentives to know-how and data providers, and thus, the present invention is based on a marketplace-type knowledge trading system, and thus it is easy to secure advanced know-how and data. In addition, various opinions and evaluations can be given to questions, answers, and related materials, enabling safe trading of know-how and data. It provides a mechanism by which questions, comments, answers, evaluations and related data form a cluster and the knowledge is automatically generated through the evaluation system.

Unlike the internal knowledge system, which is not easy to export personal knowledge, this knowledge system in the open site enables knowledge workers to create and maintain personal knowledge without any interference, as well as various knowledge transactions.

Claims (3)

Step 110 of constructing a question file consisting of the title of the question (210) and the content of the question (220), the price (230) to be purchased when the answer is given, the creditworthiness and profile (270) of the questioner, and the like. Step 120 is given to comment 250 on the question and The title of the material (310), the description of the material (330), the credit and profile of the author of the material (350), the opinion of the material (370), the evaluation of the material by the purchaser of the material (320) and the payment can be downloaded. Answer 130 and the related material 150 are configured by a knowledge transaction system consisting of an electronic payment system 360, etc. Steps (170, 240, 250, 260) in which a cluster is formed by connecting answers and related materials by a data author, an expert, and a knowledge manager. A step 320 in which an evaluation of the answers and related materials is given by the people who purchased the answers 130 and related materials 150 and In step 280, an evaluation of the opinion 250 is given by a questioner, an expert, a knowledge manager, or the like. Among the linked comments (250), the answers (240), and the related materials (260), the cluster connection list automatically shows the number of hits that were taken or accepted as an answer, or received a high score (280). How the knowledge is generated through the step 190, which is not adopted as the received opinion, the answer or the number of views is automatically deleted from the cluster (190) The data file is formed by a knowledge trading system consisting of the title of the material (310), description of the material (330), credit and profile of the author of the material (350), and an electronic payment system (360) that allows users to download the data upon payment. Configured step 110 and In step 370, the site visitor or expert is given an opinion about the data file. Step 320 in which an evaluation of the data is given by the data purchaser; In step 170, a cluster is formed by linking related data files 340, opinions 370, and evaluation 320 by a data author, an expert, and a knowledge manager. Among the linked comments (370), evaluation (320), and related material (340), a large number of hits or high scores are automatically displayed in the cluster connection list, and the number of views or bad ratings or related is low. How knowledge is generated through step 190, where data are automatically deleted from the cluster The method of claim 1 and 2; When forming a cluster by linking questions, resources, opinions, answers, related materials, and assessments, how can new clusters be organized by topic through connection keywords?