• Proceedings of the Korea Inteligent Information System Society Conference
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• 2007.11a
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• pp.362-366
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• 2007

최근 기업 경영활동의 의사결정시 사용되는 비즈니스 룰(Business Rule)을 정형화하고 하나의 시스템으로 구축하여 효과적으로 기업의 경쟁력을 제고하기 위한 노력이 다양하게 시도되고 있다. 비즈니스 룰 시스템 구축 작업의 경우 기업 내부에 비정형적으로 존재하는 비즈니스 룰을 체계적으로 관리하기 위해 BRMS(Business Rule Management System)와 같은 전문 관리 도구를 도입하나, 대부분의 경우 비즈니스 룰 리포지토리(Repository)를 단순히 기능별 혹은 업무별로 구성함으로 인해 동일한 내용의 룰이 서로 다른 룰 리포지토리에 중복 존재하게 되는 등 구조상의 문제점을 발생시킨다. 이로 인해 각 어플리케이션 간의 룰 또는 룰 세트(Rule Set) 공유 관계가 수동 관리되거나 중복 룰의 수정으로 인한 룰 세트별 버전 관리 문제 등 비즈니스 룰 리포지토리 운영의 어려움에 봉착하게 된다. 본 연구에서는 금융보험사의 룰웨어하우스 구축 사례를 통해 다양한 어플리케이션에서 참조되는 전사 수준의 비즈니스 룰 관리 아키텍처 구성 방법 및 각 방법이 지닌 장단점에 대해 분석한다. 본 연구의 결과를 토대로 다양한 어플리케이션에서 참조되고 수시로 변경되는 전사 수준의 통합 비즈니스 룰 관리 시스템 구축 방안에 대한 연구가 활성화되기를 기대한다.

• Korean Management Science Review
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• v.20 no.2
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• pp.17-31
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• 2003

A workflow management system is a software system to support accurate execution, control and management of business processes. It has been known that the system automatically executes complex processes and effectively manages them to improve the productivities. However though existing systems assure the automatic execution of an individual process, there is a room for enhancement from the view of efficient execution of all the processes. In this paper, we propose a method of executing business processes efficiently by introducing the PERT/CPM techniques in the workflow management systems. We first consider the differences between workflow process models and PERT/CPM models, and then develop a method of calculating the critical path and slack time in workflow processes. This leads us to develop a dispatching rule that can guide task performers to prioritize their tasks to increase the efficiency of ail the processes. We have carried out a set of simulation experiments and analyzed the results to demonstrate the effectiveness of the proposed method.

• Journal of information and communication convergence engineering
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• v.8 no.1
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• pp.89-94
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• 2010

The most important of rule-base system is the knowledge base that determines the power of rule-base system. The important form of this knowledge is how to descript kinds of rules. The Rule-Base System (RBS) has been using in many field that need reflect quickly change of business rules in management system. As far, when develop the Rule-Based System, we must make a rule engine with a general language. There are three disadvantage of in this developed method. First, while there are many data that must be processed in the system, the speed of processing data will become very slow so that we cannot accept it. Second, we cannot change the current system to make it adaptive to changes of business rules as quickly as possible. Third, large data make the rule engine become very complex. Therefore, in this paper, we propose the two important methods of raising efficiency of Rule-Base System. The first method refers to using the Relational database technology to process the rules of the Rule-Base System, the second method refers to a algorithm of according to Quine McCluskey formula compress the rows of rule table. Because the expressive languages of rule are still remaining many problems, we will introduce a new expressive language, which is Rule-Base Data Model short as RBDM in this paper.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2005.05a
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• pp.157-163
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• 2005

Nowadays, the web service was based on composing the e-business and distributed computing environment. But existing workflow management systems have many problems with the interoperability between companies because they are made before most web services. For these problems, the workflow based composition language such as the Business Process Execute Language for Web Services (BPEL4WS or BPEL) appeared in expressing the web service composition. In this paper, we present an event based rule management system architecture that executes automatically the BPEL using the Event-Condition-Action (ECA) rules. The event based rule management system consists of the event manager, rule manager, and Jess. The Jess is the part of executing and deciding the condition.

• Proceedings of the Korea Database Society Conference
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• 2010.06a
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• pp.99-107
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• 2010

BSC(Balanced Scorecard)는 재무적 성과지표의 한계를 지양하고 고객관점, 내부 프로세스 관점, 학습과 성장 관점, 재무 관점의 다양한 관점에서 성과측정시스템으로 상용 될 수 있을 뿐만 아니라 전략의 해석, 전략적 캐스케이딩(cascading), 전략적 자원분배, 전략적 학습도구를 위한 전략관리시스템으로 또한 의사소통도구로서 사용된다. 분 논문에서는 대학내의 학과들이 각각 개별적인 특성이 존재하고 학과의 제한된 자원과 역량하에서의 효율적인 운영과 이에 대한 조직적인 접근방법이 필요하기 때문에 학과조직에 BSC를 적용하는 방안을 모색하였다. 이러한 학과 BSC는 대학 전체 또는 그 상위조직의 BSC를 위한 토대로 이용될 수 있을 뿐만 아니라 교육에 관련한 다양한 인증 및 평가와 연계할 수 있을 것이다. 또한 본 논문에서는 최소한의 프로그래밍과 이해하기 용이한 수행규칙, 그리고 유연한 개정을 위하여 비즈니스 규칙(Business Rule)으로 이루어지는 BRMS(Business Rule Management System)로 학과 BSC를 설계할 수 있는 방안을 모색하였다.

• Journal of Korean Society for Geospatial Information Science
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• v.22 no.4
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• pp.81-89
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• 2014

In Korea, National spatial data infrastructure has implemented in order to integrated manage and share the national spatial information producted by public agencies and local governments. The necessities of systematic quality management are raised, because information, which is generated by different agencies, is integrative managed by national level. In this paper, the establishment of BPR(Business Process Reengineering) for national spatial data infrastructure quality management system. Quality management business is defined as quality management object definition, quality measuring, evaluation and analysis, and quality enhancement process. Next, activities for each process are designed. For the quality management business, business rule(BR) is required for determining error. We derive the BR for six objects(legal-dong, railway boundary, railway centerline, road boundary, road centerline, building) among the basic spatial information. Other information's BR can be generated by using the derivation method described in this paper. Based on the BPR of this paper and derived BR, national spatial data infrastructure quality management system can be implemented in the future.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.14 no.6
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• pp.1359-1364
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• 2010

In International Financial Reporting Standards(IFRS), companies have difficulties in managing efficiently own accounting rules and demonstrating the adequacy of accounting processes with the conventional accounting system. BRMS(Business Rule Management System) provides methods for managing, processing, and monitoring these accounting rules according to accounting principles and situation. This paper proposed the BRMS-based financial programming framework for managing and processing the accounting principles and the own accounting rules.

• Journal of Intelligence and Information Systems
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• v.1 no.2
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• pp.57-71
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• 1995

This paper presents a rule extraction algorithm RE to acquire explicit rules from trained neural networks. The validity of extracted rules has been confirmed using 6 different data sets. Based on experimental results, we conclude that extracted rules from RE predict more accurately and robustly than neural networks themselves and rules obtained from an inductive learning algorithm do. Rule extraction algorithm for neural networks are important for incorporating knowledge obtained from trained networks into knowledge based systems. In lieu of this, the proposed RE algorithm contributes to the trend toward developing hybrid and versatile knowledge-based system including expert systems and knowledge-based decision su, pp.rt systems.

• Journal of Intelligence and Information Systems
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• v.11 no.2
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• pp.151-173
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• 2005

We developed a methodology of rule acquisition from texts such as Web pages which utilizes ontology in identification of rule components. We expect that the proposed methodology can reduce the bottleneck of rule acquisition and contribute to the utilization of rule based systems. As parts of our research, we designed an ontology for rule acquisition named OntoRule and proposed a rule acquisition methodology through OntoXRML which is an acquisition tool using OntoRule. Also, we evaluated our approach by calculating missed recommendations and wrong recommendations of rule components in rule acquisition experiments over three online bookstores.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2005.11a
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• pp.271-275
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• 2005

In this research, we propose a Unified Fuzzy rule-based knowledge Inference Systems UFIS) to help the expert in cosmetic brand detection. Users' preferred cosmetic product detection is very important in the level of CRM. To this Purpose, many corporations trying to develop an efficient data mining tool. In this study, we develop a prototype fuzzy rule detection and inference system. The framework used in this development is mainly based on two different mechanisms such as fuzzy rule extraction and RDB (Relational DB)-based fuzzy rule inference. First, fuzzy clustering and fuzzy rule extraction deal with the presence of the knowledge in data base and its value is presented with a value between $0\∼1$. Second, RDB and SQL(Structured Query Language)-based fuzzy rule inference mechanism provide more flexibility in knowledge management than conventional non-fuzzy value-based KMS(Knowledge Management Systems)