• Journal of Information Technology Services
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• v.5 no.3
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• pp.121-135
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• 2006

With the growth and maturation of IT industry, the necessity of audit about development, maintenance and management of high-quality information system is gradually increasing. In addition, the necessity of inner auditing system, which could totally verify and evaluate the effectiveness of project according to the characteristics of organization conducting information-oriented business, also being proposed. Government offices including Korea Institute of Science and Technology(KISTI) collectively controlling nationwide science-technology related information have no guiding principle or organization within themselves even though performing information-oriented businesses are becoming more bigger and complicated. In this paper, we propose scheme for devising framework, which can audit construction and operation of knowledge information, check list and guideline. In addition, we present concrete ways for adapting these schemes to institutes which manage science-technology knowledge information. Audit framework consists of points of time in audit, audit domain and audit criterion. Points of time in audit are defined as three phases as followings: pre-audit, in-progress audit and post-audit. Audit domain includes 16 detail audit domains and especially we set 11 check items and 40 detail investigation items for database implementation business. We expect that management level of science-technology implementation business of organizations using this research result will increase and they could offer high-quality information service.

• Journal of the Korean Society for Precision Engineering
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• v.17 no.8
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• pp.106-112
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• 2000

Cognition and control of grinding trouble occurring during the grinding process are classified into a quantitative knowledge which depends on experimental data and qualitative knowledge which relies on skiful engineers. grinding operations include a large number of functional parameters since there are several ways of coping with ginding trouble. One is the qualitative method which depends on empirical knowledge utilizing the skilful experts from the workshop the other is the quantitative method which utilizes the experimental data obtained by sensor. But they are all difficult to accomplish from the grinding trouble-shooting system The reason is that grinding troubles are not accomplish from the grinding trouble-shooting system,. The rason is that grinding troubles are not easily controlled in the quantitative method and therefore trouble-shooting has mainly relied on the knoledge of skiful engineers. Thus there is an important issue of how a grinding touble-shooting system can be designed and what knowledge is utilized among the large amount of grinding trouble information. In this paper basic strategy to develop the grinding database by taking rule-based model which is strongly depended upon experience and intuition is described.

• Proceedings of the Korea Database Society Conference
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• 1999.10a
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• pp.331-347
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• 1999

What is Portal\ulcorner o Stage of Portal Development o The Elements of a Portal o Topplogy of Portal Landscape (omitted)

• Proceedings of the KAIS Fall Conference
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• 2003.11a
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• pp.3-9
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• 2003

The task for chromosome analysis and diagnosis by experienced cytogenetists are being concerned as repetitive, time consuming job and expensive. For that reason, intelligent agent based on chromosome knowledge base has been established to be able to analyze chromosomes and obtain necessary advises from the knowledge base instead of human experts. That is to say, knowledge base by IF THEN production rule was implemented to a knowledge domain with normal and abnormal chromosomes, and then the inference results by knowledge base could enter the inference data into the database. Experimental data were composed of normal chromosomes of 2,736 patients 'cases and abnormal chromosomes of 259 patients' cases that have been obtained from GTG-banding metaphase peripheral blood and amniotic fluid samples. The completed intelligent agent for chromosome knowledge base provides variously morphological information by analysis of normal or abnormal chromosomes and it also has the advantage of being able to consult with user on chromosome analysis and diagnosis.

• Journal of the Korea Computer Industry Society
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• v.2 no.2
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• pp.123-130
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• 2001

As the growth of database volume, it has required a need and an opportunity of data analysis and extracting knowledge from database. Data mining method is the representative example. The size of most minable data set is huge, and stored in a database. To implement effective mining function, we must extract minable data set to be analyzed from existing relational database, and it must be managed with its generalized information. In this paper, the new mining operator is defined in a similar manner to the existing SQL operators and SQL is extended to extract data subset from relations and to generalize it using domain-oriented method. The background knowledge includes attribute values, which will be mind and generalized information, and it is managed as the same structure with a relation in relational database. These functions are implemented by defining some SQL - like operators and aggregated functions, and we describe the expressive powers of these new operators and functions through examples.

• 제어로봇시스템학회:학술대회논문집
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• 1991.10a
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• pp.715-719
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• 1991

In manufacturing process, usually 2-dimensional part drawing is used as a basic data. If a designer wants to recognize 2-dimensional drawing and formulate 3-dimensional shape, a proper feature recognition rule is required as a prerequisite step. These rules are converted Into knowledge base, should be ed separately in the recognition program and can be referenced In similar way of database application. In this paper, basic feature recognition rules are addressed in structure type knowledge base, and the application system is formulated which can be operated separately with existing data driven program.

• Proceedings of the KSR Conference
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• 2001.10a
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• pp.29-34
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• 2001

In this paper, we'll change a data generated by the project for a database and make the better interface of all laboratory and a participating enterprise, constructing a knowledge-based management system to fit a characteristics within a country. Also, we'll manage the light-rail transit system development efficiently and systematically, constructing the web-based knowledge information system.

• Proceedings of the Korea Database Society Conference
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• 1998.09a
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• pp.83-98
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• 1998

Who needs Media Asset Management？ ◆ Publishers ◆ Any company publishing newspapers, magazines, catalogs or web sites. ◆ Content Creators ◆ Companies who create content for use in their business ◆ Broadcasters, Advertising Agencies, Studios, Sports Houses (NBA, NFL), Corporate Training Depts, Retailers ◆ Content Distributors ◆ Cable Operators, Telecoms, Internet Service Providers, Online Service Providers Who needs Media Asset Management？ ◆ There's a LOT of money being spent on this kind of technology, and not just by 'media' companies ◆ Retailers, for catalogs, web sites, call centers ◆ Chems/Pharms, for drug. discovery, knowledge management ◆ Legal, for document and knowledge management ◆ Federal, for video surveillance and knowledge management ◆ Manufacturing, for integration of CAD, text and business-to-business applications ◆ Anyone with a Web/Content Management challenge(omitted)

• Journal of the Korean Institute of Intelligent Systems
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• v.16 no.1
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• pp.101-107
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• 2006

In this research, we propose a hybrid inference architecture for medical diagnosis based on dynamic knowledge map (DKM) and relational database (RDB). Conventional expert systems (ES) and developing tools of ES has some limitations such as, 1) time consumption to extend the knowledge base (KB), 2) difficulty to change the inference path, 3) inflexible use of inference functions and operators. To overcome these Limitations, we use DKM in extracting the complex relationships and causal rules from human expert and other knowledge resources. The DKM also can help the knowledge engineers to change the inference path rapidly and easily. Then, RDB and its management systems help us to transform the relationships from diagram to relational table.

• Knowledge Management Research
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• v.9 no.1
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• pp.39-59
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• 2008

This paper is an empirical study to analyze the flow of knowledge in science and technology in order to predict technology innovation. Here, we use the information of scientific papers and patents to look into the characteristics of how knowledge is created in science, technology and industry. Based on the characteristics we find, we are able to understand the relationships between science and technology, and technology and industry. In this paper, we adopt multivariate analysis of variance (MANOVA) using scientific papers in SCI database and US patents filed by Korean inventors in order to analyze the patterns of knowledge flows of science and technology. Finally, we present the direction for future study by using the research results.