• Industrial Engineering and Management Systems
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• 제14권1호
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• pp.73-87
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• 2015

The development of a practical technology intelligence system requires a knowledge base that structures the core information and its relationship distilled from large volumes of technical data. Previous studies have mainly focused on the methodological approaches for technology opportunities, while little attention has been paid to constructing a practical knowledge base. Therefore, this study proposes a procedure to construct a function-based knowledge base for technology intelligence. We define the product-function-technology relationship and subsequently present the detailed steps for the knowledge base construction. The knowledge base, which is constructed analyzing 1110582 patents between 2009 and 2013 from the United States Patent and Trademark Office database, contains the functional knowledge of products and technologies and the relationship between products and technologies. This study is the first attempt to develop a large-scale knowledge base using the concept of function and has the ability to serve as a basis not only for furthering technology opportunity analysis methods but also for developing practical technology intelligence systems.

• 산업경영시스템학회지
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• 제21권48호
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• pp.213-222
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• 1998

The objective of this study is to develop a knowledge-based scheduler applying simulation and knowledge base. This study utilizes a machine induction to build knowledge base which enables knowledge acquisition without domain expert. In this study, the best job dispatching rule for each order is selected according to the specifications of the order information. And these results are built to the fact base and knowledge base using the attribute-oriented induction method and simulation. When a new order enters in the developed system, the scheduler retrieves the knowledge base in order to find a matching record. If there is a matching record, the scheduling will be carried out by using the job dispatching rule saved in the knowledge base. Otherwise the best rule will be added to the knowledge base as a new record after scheduling to all the rules. When all these above steps finished the system will furnish a learning function.

• 정보관리학회지
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• 제19권1호
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• pp.47-69
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• 2002

개념기반 정보검색기법은 불리언 검색기법의 문제점을 해소했다고 평가받고 있는 단순 매칭함수 기법이나 P-norm 검색기법보다 높은 성능을 보여주고 있다. 그러나 개념화장에 필수적인 의미망 지식베이스를 구축하는데 시간이 너무 오래 걸리는 단점이 있다. 본 연구에서는 이러한 문제를 해결하기 위해 주제범주별로 지식베이스를 분산 구축함으로써 지식베이스 구축에 소요되는 시간을 단축하면서도 검색성능이 떨어지지 않도록 하는 방안을 모색하고자 하였다.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2003년도 춘계 학술대회 학술발표 논문집
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• pp.247-250
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• 2003

Due to the increasing use of very large databases, mining useful information and implicit knowledge from databases is evolving. However, most conventional data mining algorithms identify the relationship among features using binary values (TRUE/FALSE or 0/1) and find simple If-THEN rules at a single concept level. Therefore, implicit knowledge and causal relationships among features are commonly seen in real-world database and applications. In this paper, we thus introduce the mechanism of mining fuzzy association rules and constructing causal knowledge base form database. Acausal knowledge base construction algorithm based on Fuzzy Cognitive Map(FCM) and Srikant and Agrawal's association rule extraction method were proposed for extracting implicit causal knowledge from database. Fuzzy association rules are well suited for the thinking of human subjects and will help to increase the flexibility for supporting users in making decisions or designing the fuzzy systems. It integrates fuzzy set concept and causal knowledge-based data mining technologies to achieve this purpose. The proposed mechanism consists of three phases: First, adaptation of the fuzzy membership function to the database. Second, extraction of the fuzzy association rules using fuzzy input values. Third, building the causal knowledge base. A credit example is presented to illustrate a detailed process for finding the fuzzy association rules from a specified database, demonstration the effectiveness of the proposed algorithm.

• 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.

• 대한전기학회논문지:전력기술부문A
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• 제48권6호
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• pp.800-806
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• 1999

This paper proposes IIKBAG(Intelligent Interlocking Knowledge Base Generator) which can build automatically the interlocking knowledge base utilized as the real-time interlocking strategy of the electronic interlocking system in order to enhance it's reliability and expansion. The IIKBAG consists of the inference engine and the knowledge base. The former has an auto-learning function which searches all the train routes for the given station model based on heuristic search technique while dynamically searching the model, and then generates automatically the interlocking patterns obtained from the interlocking relations of signal facilities on the routes. The latter is designed as the structure which the real-time expert system embedded on IS(Interlocking System) can use directly in order to enhances the reliability and accuracy. The IIKBAG is implemented in C computer language for the purpose of the build and interface of the station structure database. And, a typical station model is simulated to prove the validity of the proposed IIKBAG.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 1993년도 추계학술대회 논문집
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• pp.142-148
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• 1993

Recectly, development of expert system utilizing the domain specific knowledge focuses upon the machining operations. This paper describes an expert system for selecting the optimum grinding wheel based on the Analytic Hierarchy Process and Fuzzy Logic. Knowledge-base, in this system, for selecting of grinding wheel is designed to appling the knowhow and experience knowledge of skilled hands. In this paper, firstly determination method of fuzzy membership function utilizing the qualitative knowledge, and then selection of the optimum wheel from among the available components according to Saaty's priority rule are described. Lastly,some implementation results are suggested.

• 한국지능시스템학회논문지
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• 제11권3호
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• pp.241-245
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• 2001

기존의 퍼지 교통 제어기들이 직관적 지식과 경험 또는 표준 규칙 베이스를 이용하여 규칙 베이스를 구성하지만, 그런 방식으로 구성된 규칙 베이스는 전문가와 운전자의 제어지식을 구체적이고 정확하게 표현할 수 없다는 문제가 있다. 따라서 본 연구에서는 제어지식을 더욱 정확하게 표현한 퍼지 교통 제어기를 설계하여 퍼지 교통 제어의 성능을 향상시킬 수 있는 방법을 제안한다. 제안된 방법은 제어지식을 정확히 표현할 수 있도록 입출력 데이터 클러스터링을 기초하여 퍼지 소속함수의 위치와 형태를 수정한다. 직관적 지식과 경험에 의해 주어진 대략적인 제어지식은 입출력 데이터 클러스터링을 위한 평가함수로 이용된다. 제안된 방법으로 설계된 퍼지 교통 제어기는 전문가와 운전자의 제어지식을 더욱 정확하게 표현할 수 있었고, 통과 차량수의 녹색시간 낭비율면에서 기존의 제어기 보다 우수한 성능을 보였다.

• 한국항해항만학회지
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• 제32권7호
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• pp.529-535
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• 2008

As a method to reduce collision accidents of ships at sea, this paper suggests an expert system for collision avoidance and navigation (hereafter "ESCAN"). The ESCAN is designed and developed by using the theory and technology of expert system and based on the information provided by AIS and RADAR/ARPA system. In this paper the ESCAN is composed of four(4) components; Facts/Data Base in charge of preserving data from navigational equipment, Knowledge Base storing production rules of the ESCAN, Inference Engine deciding which rules are satisfied by facts or objects, User System Interface for communication between users and ESCAN. The ESCAN has the function of real--time analysis and judgment of various encountering situations between own ship and targets, and is to provide navigators with appropriate plans of collision avoidance and additional advice and recommendation This paper, as a basic study, is to introduce the basic design and function of ESCAN.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2001년도 추계학술대회 학술발표 논문집
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• pp.208-212
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• 2001

본 논문은 무한 지식베이스에 가까운 웹으로부터 추출된 지식의 최적화 관리에 관한 것이다. 비록 웹 문서로부터 사실이나 규칙과 같은 유용한 지식을 추출했다 하더라도 일반화되지 않은 지식을 포함하고 있으므로 이를 적절하게 제거함으로서 지식베이스가 일반화된 지식만을 포함하도록 관리해야 할 필요가 있다 이를 위하여 본 논문에서는 인간의 망각에 기반한 기억방식을 응용한 망각에 의한 기억알고리즘을 제안한다. 본 논문에서는 기억을 관심도, 망각정도와 시간의 함수로 가정한다. 즉, 관심 있는 지식을 더 잘 기억하고, 잘 망각할수록 그리고 기억된 지 오래될 수륵 기억은 지수함수 적으로 감소한다. 여기서, 망각이란 이전의 기억정도, 기억능력 그리고 자극횟수의 함수로서, 이전에 기억된 정도가 크고, 기억능력이 크고, 자주 자극 받을수록 그 지식은 덜 망각하게 된다.