• 대한안전경영과학회지
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• 제13권2호
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• pp.251-258
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• 2011

The existing evaluation systems based on financial performance summarize the information about past results and focus on short-term performance, and so they have the limits to explain the future value of firms and to make a long-term strategic performance. By this reason, as a way to increase the future value, the development of the integrated performance evaluation system with which we may manages financial performance and knowledge assets together has been required recently. This study puts together various researches for the evaluation of knowledge assets, and analyzes the existing studies for the domestic medical devices industry and the tendency of introduction for business practice. Under this analysis, this study develops the knowledge asset evaluation indexes for medical devices industry by using the Balanced Score Card (BSC) of Kaplan & Norton(1992), and then presents the evaluation model by applying the Analytic Hierarchy Process (AHP) of Saaty(1980) to get the weight for each index. With the final evaluation model, we can calculate the evaluation score combined with both the quantitative indexes and the qualitative indexes at once.

• 대한산업공학회지
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• 제29권3호
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• pp.230-238
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• 2003

The configuration design of a mechanical product can be efficiently performed when it is based on the functional modeling. There are methodologies, which decompose function from the abstract level to the concrete level and match the functions to physical parts. But it is difficult to carry out an innovative design when the function is matched only to a pre-detined part. This paper describes the configuration design process of a mechanical product with a design expert system, which uses function taxonomy and TRIZ theory. The expert system can propose a functional modeling of a new part. which is not in the existing parts list. The abstraction levels of design knowledge are introduced, which describe the operation of mechanical product in the levels of abstraction. This is the theoretical background of using knowledge of function and TRIZ for configuration design. The expert system is adequate to control this design knowledge. which expresses knowledge of functional modeling, mapping rules between functions and parts, selection of parts, and TRIZ theory. The hierarchy of functions and machine parts are properly expressed by classes and objects in the expert system. A design expert system has been implemented for the configuration design of a train bogie, and a new brake system of the bogie is introduced with the aid of TRIZ's 30 function groups.

• 한국IT서비스학회지
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• 제12권1호
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• pp.115-130
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• 2013

This paper describes Cross reference services in Knowledge contents based on UCI. Cross references are effective features that can increase the value of the contents. Knowledge contents include academic papers, research reports, archives, historical and cultural heritage, and professional databases. Cross references are consists of reference-to and cited-by links which can be made by reference list in article. Some of cross reference services provided are considered. We designed cross reference services for knowledge contents in Korea and prototype services are provided. The reference linking service in the area of national R&D will enable the linking of heterogeneous information produced at different sources.

• 한국디지털정책학회:학술대회논문집
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• 한국디지털정책학회 2004년도 춘계학술대회
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• pp.575-592
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• 2004

In modern dynamic management environment, there is growing recognition that? information & knowledge management systems are essential for CEO's efficient/effective decision making. As a key component to cope with this current, we suggest the management performance analysis syystem based on Knowledge Discovery in Database (KDD). The system measures management performance that is considered with both VA(Value- Added), which represents stakeholder's point of view and EVA(Economic Value-Added), which represents shareholder's point of view. The relation ship between management performance and some 80 financial ratios is analyzed, and then important financial ratios are drawn out. In analyzing the relationship, we applied KDD process which includes such as multidimensional cube, OLAP(On-Line Analytic Process), data mining and AHP(Analytic Hierarchy Process). To demonstrate the performance of the system, we conducted a case study using financial data over the 16-years from 1981 to 1996 of Korean automobile industry which is taken from database of KISF AS(Korea Investors Services Financial Analysis System).

• 한국정보통신학회논문지
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• 제10권9호
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• pp.1691-1699
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• 2006

본 논문에서는 모든 분야의 지식 에 대해 온톨로지(ontology)화 하기보다는 회의 분야로 특화하여 회의 지을 온톨로지화 할 수 있는 지식기반회의 관리시스템 아키텍처를 제시한다. 또한, 시뮬레이션 및 분석을 통해 객관적 평가 기준을 마련한 다음 화상 회의, 음성 인식, 행동 인식 등의 각종 인식 시스템을 통해 변환되고 가공된 정보를 체계화하고 지식 화하여 분석 할 수 있는 시스템으로의 발전 가능성에 대해서 제시한다.

• 한국디지털정책학회:학술대회논문집
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• 한국디지털정책학회 2003년도 창립학술대회
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• pp.191-210
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• 2003

In modern dynamic management environment, there is growing recognition that information & knowledge management systems are essential for CEO's Efficient/effective decision making, As a key component to cope with this current, we suggest the management performance analysis system based on Knowledge Discovery in Database (KDD). The system measures management performance that is considered with both VA(Value-Added), which represents stakeholder's point of view and EVA(Economic Value-Added), which represents shareholder's point of view, The relationship between management performance and some 80 financial ratios is analyzed, and then important financial ratios are drawn out. In analyzing the relationship, we applied KDD process which includes such as multidimensional cube, OLAP(On -Line Analytic Process), data mining and AHP(Analytic Hierarchy Process). To demonstrate the performance of the system, we conducted a case study using financial data over the 16-years from 1981 to 1996 of Korean automobile industry which is taken from database of KISFAS(Korea Investors Services Financial Analysis System).

• 대한안전경영과학회지
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• 제4권1호
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• pp.37-47
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• 2002

Risk analysis is a formal deductive procedure for determining combinations of component failures and human errors that could result in the occurrence of specified undesired events at the system level. This method can be used to analyze the vast majority of industrial system reliability problems. This study deals with the application of knowledge-engineering and a methodology for the assessment ＆ measurement of reliability, availability, maintainability, and safety of industrial systems using FTA(fault tree analysis), A fuzzy methodology for fault-tree evaluation seems to be an alternative solution to overcome the drawbacks of the conventional approach (insufficient Information concerning the relative frequencies of hazard events). To improve the quality of results, the membership functions must be approximated based on heuristic considerations, The purpose of this study is to describe the knowledge engineering approach, directed to integrate the various sources of knowledge involved in a FTA.

• ETRI Journal
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• 제42권2호
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• pp.239-246
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• 2020

Recently, Linked Open Data has become a large set of knowledge bases. Therefore, the need to query Linked Data using question answering (QA) techniques has attracted the attention of many researchers. A QA system translates natural language questions into structured queries, such as SPARQL queries, to be executed over Linked Data. The two main challenges in such systems are lexical and semantic gaps. A lexical gap refers to the difference between the vocabularies used in an input question and those used in the knowledge base. A semantic gap refers to the difference between expressed information needs and the representation of the knowledge base. In this paper, we present a novel method using an ontology lexicon and dependency parse trees to overcome lexical and semantic gaps. The proposed technique is evaluated on the QALD-5 benchmark and exhibits promising results.

• 산업경영시스템학회지
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• 제38권1호
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• pp.74-82
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• 2015

Two key challenges in statistical relational learning are uncertainty and complexity. Standard frameworks for handling uncertainty are probability and first-order logic respectively. A Markov logic network (MLN) is a first-order knowledge base with weights attached to each formula and is suitable for classification of dataset which have variables correlated with each other. But we need domain knowledge to construct first-order logics and a computational complexity problem arises when calculating weights of first-order logics. To overcome these problems we suggest a method to generate first-order logics and learn weights using association analysis in this study.

• 한국시스템다이내믹스연구
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• 제17권3호
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• pp.31-50
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• 2016

This study examines the basic conditions of joint authorship research activities in the Korean System Dynamics Review and points out the structural co-author network characteristics among co-authored papers based on the social network analysis(SNA) techniques. In specific, this study identifies the cooperative relationship of research papers in the Korean System Dynamics Review, knowledge formation, and knowledge propagation paths. The study results imply that Korean System Dynamics Review has exhibited the typical 'Steven's power law,' which is repeatedly observed among complex systems, and that knowledge structure centered upon and propagated around couples of researchers. Additionally, the study results present that there have been active personal exchanges among major researchers. In contrast, personal contacts among research groups and within groups seem relatively weak.