• 한국전자거래학회지
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• 제7권1호
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• pp.75-86
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• 2002

In this study, we proposed design issues and structure of a web mining system and develop a system for the purpose of knowledge integration under world wide web environments resulted from our developing experiences. The developed system consists of three main functions： 1) gathering documents utilizing a search agent; 2) determining similarity coefficients between any two documents from term frequencies; 3) clustering documents based on similarity coefficients. It is believed that the developed system can be utilized for discovery of knowledge in relatively narrow domains such as news classification, index term generation in knowledge management.

• 산업경영시스템학회지
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• 제23권55호
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• pp.85-96
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• 2000

This paper describes IDMS, a graph-based modeling system that supports problem structuring. We employs influence diagram as a problem representation tool, that is, a modeling tool. In particular, IDMS is designed as domain-independent shell. Therefore, a modeler can change the contents of the knowledge base to suit his/her own interested domain. Since the knowledge base of IDMS contains both modeling knowledge and domain knowledge, IDMS provides not only the syntactic support for modeling tool, but also the semantic support for problem domain. To apply the method in the real world context, we tested IDMS on the process selection problem in business reengineering, which is typical semi-structured problem.

• 한국멀티미디어학회논문지
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• 제17권5호
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• pp.631-639
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• 2014

Recently, research on Media Access Control (MAC) techniques for underwater acoustic communication has been conducted actively. For successful acoustic communication in underwater conditions, development of environmentally adaptive MAC techniques, which is taking narrow bandwidth, distance, depth, noise level, salinity, multipath and etc into account, is an especially important work. In this paper, knowledge based system is introduced not only to obtain adaptive and optimal communication parameters but also increase network efficiency and availability by requesting change of MAC techniques based on decisions from knowledge-based system Smart Decision Block (SDB). Computer simulations were also conducted to verify the performance of the proposed system in underwater conditions.

• 한국산학기술학회논문지
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• 제22권6호
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• pp.127-139
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• 2021

이 연구는 부산광역시 사상공업지역에 입주한 기업의 지식산업혁신거점 조성에 대한 요구를 분석하여 공업지역 활성화를 위한 관련 제도의 개선방향을 제시하고자 한다. 이를 위해 부산 사상공업지역의 물리적 현황분석과 입주기업을 대상으로 한 설문조사를 이용하였다. 연구의 주요결과는 다음과 같다. 첫째, 산업물류를 다루는 공업지역임에도 도로율이 낮고, 필지 규모가 작아 대부분의 입주기업이 영세성을 면치 못하고 있다. 둘째, 공업지역 활성화 시범사업의 인지도는 낮지만 공업지역 혁신과 시범사업 필요도, 기대효과는 상대적으로 높았다. 셋째, 시범사업의 혁신거점조성에 대한 기대가 높으며(90.3%), 핵심적 도입기능으로는 연구개발센터 입주를 강하게 희망하고 있다. 이러한 분석에 기초하여, 공업지역 활성화를 위한 법·제도의 시행에 따른 정비계획의 방향을 제안하면 다음과 같다. 첫째, 대상지 내 업종 간 연계성, 어떤 업종이 성장우위에 있는지 세부적인 기초조사를 통한 검토가 선행되어야 한다. 둘째, 산업혁신거점 조성은 주변 공업지역에 파급력이 있고 업종별 지원을 할 수 있는 센터로 운영될 수 있도록 조처해야 한다. 셋째, 공업지역의 혁신적인 변화는 주요 이해당사자가 협력하여 활성화 방안을 지속적으로 개발하고 연구함으로써 실행력을 높여야 한다.

• 지능정보연구
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• 제27권4호
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• pp.49-71
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• 2021

문제해결을 위해 지식을 활용하는 사용자는 내용 면에서 관련된 또 다른 지식, 즉 연관지식에 대한 교차적이고 순차적인 탐색을 진행한다. 지식지도는 관리하는 지식의 현황을 보여주는 도식이자 지식저장소의 분류체계로서, 지식 간 연관성에 기반한 사용자의 지식 탐색을 지원하는 도구이다. 따라서 지식지도는 지식 간 연관성에 의한 네트워크 형식으로 표현되며, 이를 정의 및 추론하는 데에 최적화된 기술을 접목하여 구현되어야 한다. 이를 위해 본 연구는 관리하는 개체와 개체 간 관계를 표현 및 추론하는 데에 최적화된 기능성을 발휘하는 것으로 알려진 그래프DB를 이용하여 지식그래프 기반 지식지도를 개발하는 방법론을 제시한다. 제시된 방법론의 유효성을 확인하기 위하여, 선행 연구의 온톨로지 기반 지식지도 구축 사례 데이터를 그래프DB에 적용하여 지식그래프 기반 지식지도를 구현하고, 구현된 지식 네트워크의 유효성과 Class 자동 구성 능력을 선행 연구의 결과와 비교하는 성능 테스트를 진행한다. 성능 테스트 결과, 본 연구의 지식그래프 기반 지식지도는 선행 연구의 온톨로지 기반 지식지도와 동일한 수준의 성능을 나타냈으며, 지식 및 지식 간 관계 정의 및 추론을 더욱 효율적으로 진행할 수 있음을 확인하였다. 본 연구의 결과는 연관지식에 대한 사용자의 인지과정을 반영한 지식 탐색 기능의 구현에 활용될 수 있으며, 추론에 의한 새로운 연관지식의 발견을 통해 자율적으로 확장되는 지능적 지식베이스의 개발에 응용될 수 있다.

• 한국IT서비스학회지
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• 제11권1호
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• pp.83-92
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• 2012

The development of science and technology oriented knowledge society accelerates the convergence between scientific theory and industrial technology and increases the complexity problem of social and economic sectors. These cause the difficulty of securing the reliability and objectivity of science and technology policy. These also are barriers of balanced evaluation between rational science and technology policy making, management, and policy coordination. In this regard, Advanced countries in science and technology develops policy support system and promotes the program of evidence-based SciSIP(Science of Science and Innovation policy) together. This paper introduces a new approach developing science service of science and technology policy utilizing business intelligence technology in Korea. Also, it proposes the integration method of policy knowledge base and component-based service supporting S&T policy decision-making process and introduces services case studies.

• 대한산업공학회지
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• 제40권5호
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• pp.442-450
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• 2014

Technology opportunity discovery (TOD) based on technological capability is a process which identifies new product and technology items that can be developed by utilizing or improving a firm's existing products or technologies. By taking into consideration the investment risk of R&D and its practicality, developing technological capability-based TOD methodology is considered to be important for both business and research. To this end, we propose a technological capability-based TOD method and its system using TOD knowledge base. The method can support four types of TOD cases, which are based on a firm's existing technologies and products, and TOD knowledge base is developed by using function information extracted from patent documents. In this paper, we introduce the overall framework of the method and provide application examples on the four TOD cases using the prototype system.

• 한국지능시스템학회논문지
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• 제16권1호
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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.

• 동아시아경상학회지
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• 제2권3호
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• pp.1-17
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• 2014

Although management consulting activities have obtained a considerable growth in terms of economic significance in recent years, these results have not been duly followed by a greater number of conceptual and empirical research in this area. In order to fight the lack of studies on the actual work of management consultants, this article aims at answer some questions that remain open. Is management consulting an intensive and specialized knowledge activity? Are there knowledge and learning key success factors in this area? Are consultants the real experts and the true practitioners of strategy as practice? The results of the empirical analysis in the form of semi-structured interviews and questionnaires given to management consultants and SME managers in Portugal shows that management consulting is founded on a knowledge-intensive base, although consultants cannot be called strategy practitioners as many authors call them. This is illustrated by the Portuguese model of determinants that constitute the management consulting industry presented in this article, which means this proposition is a new direction in strategic thinking in what the field's research strategy-as-practice concerns.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2005년도 춘계학술대회
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• pp.316-320
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• 2005

We developed Intelligent Product Search Agent based on SWRL, and this agent can search product information with knowledge(facts and rules) on the web, implement price comparison for searched products considering delivery rates. Existing keyword based product search engines is poor at searching intent products though a user has already prefect knowledge about intent produces. Furthermore if a user has insufficient knowledge, it is impossible to implement search. Also, existing price comparison shopping mall gives users comparison service considering total price(product prices, taxes, delivery rates), this service is valid to single product and has limitations of system expansion and up-dating because of not rule base but programming base. If there is appropriate knowledge on the Semantic web and this makes product information retrieval possible, above problems can be solved clearly. In this research, we developed Intelligent Product Search Agent based on SWRL that can search product information efficiently by making agent to handle facts and rules by itself.