• 지능정보연구
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• 제12권3호
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• pp.95-110
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• 2006

지능형 에이전트와 규칙기반 시스템을 이용해 보다 지능적인 웹 환경을 구축하고자 하는 노력이 시맨틱 웹의 발전과 함께 증가하고 있다. 이러한 에이전트와 규칙기반 시스템에 필요한 규칙들을 이미 많은 지식들이 산재해 있는 웹으로부터 습득할 수 있다면 보다 효율적으로 시스템을 구축하는 것이 가능하며, 이러한 응용시스템의 확장은 시맨틱 웹의 발전을 더욱 가속화하는 계기가 될 수 있을 것이다. XRML 방법론은 웹으로부터 규칙을 습득하기 위한 단계적 방법을 제시하고 있으며, 온톨로지를 이용함으로써 규칙의 구성요소들을 자동으로 추출할 수 있도록 지원한다. 그러나 추출된 규칙구성요소들을 조합하여 완전한 규칙을 만드는 과정이 규칙관리자의 수작업에 의존하고 있다. 본 연구는 온톨로지와 그래프 탐색을 사용함으로써 이 과정을 자동화하고자 하는 연구이다. 온톨로지에 있는 규칙의 일반적 패턴을 기반으로 하여 그래프 탐색을 이용해 규칙구성요소들을 조합함으로써 웹 페이지로부터 자동으로 규칙을 추출할 수 있다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 1989년도 한국자동제어학술회의논문집; Seoul, Korea; 27-28 Oct. 1989
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• pp.290-295
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• 1989

This paper proposes a Expert CAPP System for integrating CAD/CAM of rotational work-part by rule based approach. The CAD/CAPP integration is performed by the recognition of machined features from the 2-D CAD data (IGES) file. Selecting functions of the process planning are performed in modularized rule base by forward chaining inference, and operation sequences are determined by means of heuristic search algorithm. For CAPP/CAM integration, post-processor generates NC code from route sheet file. This system coded in OPS5 and C language on PC/AT, and EMCO CNC lathe interfaced with PC through DNC and RS-232C.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2003년도 춘계학술대회
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• pp.319-328
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• 2003

With the proliferation of WWW, providing more intelligence to Web sites has become a major concern in e-business industry. In recent days, this trend is more accelerated by prosperity of CRM (Customer Relationship Management) in terms of various aspects such as product recommendation, self after service, etc. To accomplish this goal, many e-companies are eager to embed web enabled rule-based system, that is, expert systems into their Web sites and several well-known commercial tools are already available in the market. Most of those tools are developed based on CGI so far but CGI based systems inherently suffer over-burden problem when there are too many service demands at the same time due to the nature of CGI. To overcome this limitation of the existing CGI based expert systems, we propose a new form of Web-enabled expert system using hyperlink-based inference mechanism. In terms of burden to Web server, our approach is proven to outperform CGI based approach theoretically and also empirically. For practical purpose, our this approach is implemented in a software system, WeBIS and a graphic rule editing methodology, Expert Diagram is incorporated into the system to facilitates rule generation and maintenance. WeBIS is now successfully operated for financial consulting in the web site of a leading financial consulting company in Korea.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 1999년도 하계종합학술대회 논문집
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• pp.997-1000
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• 1999

Conventional rule-based approaches have some problems caused by rule maintenance. Also they have some limitations to get the high quality translation results. This paper presents new English-Korean transfer approach that uses patterns and examples on limited domains. The use of patterns and examples can resolve the ambiguities and give high quality of MT Proposed approach can be applied in various NLP related area. Experimental results with a test corpus are discussed.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1988년도 전기.전자공학 학술대회 논문집
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• pp.841-842
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• 1988

For determination of black-out area and restoration area by an expert system for fault section estimation and power system restoration using information from circuit breakers, it is necessary that the recognition of system isolation state and a method of finding the change of system isolation state by the state transition of breakers in isolated system. This paper presents a method of resolving the above problem by rule-based approach.

• 대한원격탐사학회지
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• 제3권2호
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• pp.115-119
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• 1987

After the introduction of the topologically structured geographic information system(GIS) with relational DBMS, the attribute data can be handled without considering locational data. By utilzing of the characteristic of the relational DBMS, it can be used as an expert system building tool in GIS. The relational DBMS of the GIS furnishes the data needed to perform deductive functions of the expert system, and the rule based approach provides the decision rules. Therefore, rule based approach with the expert judgement can be easily combined with relational DBMS.

• 한국정보처리학회논문지
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• 제6권11호
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• pp.2875-2888
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• 1999

In this paper we present compiler-based active rule system to efficiently maintain spatial integrity constraints in a heterogeneous, distributed environment. Specially, the prototype active rule system presented has been developed as a component of a whole middleware system called SDBC(Spatile DataBase Connectivity). Due to this reason, our active rule system is provided for heterogeneous ODBMSs in a distributed environment and used to define spatial integrity constraints using the active rules in E-C-A(Event-Condition-Action) type. Using this active rule system, an application programmer can free himself from a heavier burden on the integrity maintenance of application objects. In the compiler-based approach, active rules applicable to events raised by a database program are directly inserted into the program in a function type by the preprocessor, and then they are compiled with the application program source codes. One advantage of this approach is that there is no run-time overhead accompanied by monitoring all the database transitions when preprocessed program is executed. This active rule system also provides facilities to manage changed rules and dynamically interpret those rules at run-tuime.

• 경영과학
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• 제17권3호
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• pp.19-30
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• 2000

Customization and personalization services are considered as a critical success factor to be a successful Internet store or web service provider. As a representative personalization technique, personalized recommendation techniques are studied and commercialized to suggest products or services to a customer of Internet storefronts based on demographics of the customer or based on an analysis of the past purchasing behavior of the customer. The underlining theories of recommendation techniques are statistics, data mining, artificial intelligence, and/or rule-based matching. In the rule-based approach for personalized recommendation, marketing rules for personalization are usually collected from marketing experts and are used to inference with customers data. however, it is difficult to extract marketing rules from marketing experts, and also difficult to validate and to maintain the constructed knowledge base. In this paper, we proposed a marketing rule extraction technique for personalized recommendation on Internet storefronts using market basket analysis technique, a well-known data mining technique. Using marketing basket analysis technique, marketing rules for cross sales are extracted, and are used to provide personalized advertisement selection when a customer visits in an Internet store. An experiment has been performed to evaluate the effectiveness of proposed approach comparing with preference scoring approach and random selection.

• 전자공학회논문지A
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• 제30A권9호
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• pp.46-58
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• 1993

Owing to the nature of locality in mask layouts, it appears that most mask layout problems can be solved by transforming a part of the given mask layout into a better layout segment continuously toward a global suboptimal solution. This notion of local transformation addresses major weak points of existing mask layout processing systems, which lack both extensibility and unifiability. This paper attempts to elaborate upon developing a new rule-based mask layout transformation system wherein most of the mask layout problems can be solved under the unified framework of local mask layout transformation. The rule-based mask layout transformation system is applicable to various mask layout problems such as net extraction, mask layout compaction, mask layout editing, and design rule checking. The experimental results show that the rule-based expert system approach is an efficient means of solving those mask layout problems, and thus confronting major drawbacks of existing layout processing systems.

• 지능정보연구
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• 제11권2호
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• pp.151-173
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• 2005

시맨틱 웹 관련연구가 증가함에 따라 지능형 에이전트 혹은 규칙기반 시스템 등의 지능적인 웹 환경에 대한 기대 역시 커지고 있다. 그러나 규칙기반 시스템의 활용에는 아직도 규칙습득이 많은 제약이 되고 있다 이와 같은 제약을 극복하기 위해 웹 페이지로부터 규칙을 습득하기 위한 XRML 방법론이 제안되었다 XRML 방법론은 웹 페이지로부터 규칙을 식별하고 식별된 결과로부터 자동으로 규칙을 생성하는 두 단계로 구성되어 있다. 여기서 규칙의 식별은 규칙생성의 자동화 정도에 매우 중요한 영향을 미친다. 그러나 규칙을 식별하는 작업은 대부분 지식관리자의 수작업에 의존하고 있다. 이러한 지식관리자의 부담을 줄이기 위해 본 논문에서는 온톨로지 기반의 개선된 규칙식별 방법론을 제안하고자 한다. 이를 위해 먼저 OntoRule이라는 이름의 온톨로지를 설계하였다. OntoRule은 자동화된 규칙 식별을 지원하기 위해 사용되며, 규칙의 구성요소들과 구조에 대한 정보를 포함하고 있다. 그리고 OntoRule을 이용하여 규칙을 식별하는 절차를 제안하였다. OntoRule과 규칙식별 절차를 제안하는 과정에서 온톨로지 학습효과, 하향식 접근방식과 상향식 접근방식의 차이, 온톨로지 사용범위 관리, 규칙구성요소의 식별순서, 생략된 변수의 식별과 같은 논점들이 고려되었다. 마지막으로 실험을 통해 제안된 방법론의 효과를 보였다.