• Title/Summary/Keyword: Knowledge Base System

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Development of a Knowledge-Based Job Shop Scheduler Applying the Attribute-Oriented Induction Method and Simulation (속성지향추론법과 시뮬레이션을 이용한 지식기반형 Job Shop 스케쥴러의 개발)

  • 한성식;신현표
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.21 no.48
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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.

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Development of OOKS : a Knowledge Base Model Using an Object-Oriented Database (객체지향 데이터베이스를 이용한 지식베이스 모형(OOKS) 개발)

  • 허순영;김형민;양근우;최지윤
    • Journal of Intelligence and Information Systems
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    • v.5 no.1
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    • pp.13-34
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    • 1999
  • Building a knowledge base effectively has been an important research area in the expert systems field. A variety of approaches have been studied including rules, semantic networks, and frames to represent the knowledge base for expert systems. As the size and complexity of the knowledge base get larger and more complicated, the integration of knowledge based with database technology cecomes more important to process the large amount of data. However, relational database management systems show many limitations in handing the complicated human knowledge due to its simple two dimensional table structure. In this paper, we propose Object-Oriented Knowledge Store (OOKS), a knowledge base model on the basis of a frame sturcture using an object-oriented database. In the proposed model, managing rules for inferencing and facts about objects in one uniform structure, knowledge and data can be tightly coupled and the performance of reasoning can be improved. For building a knowledge base, a knowledge script file representing rules and facts is used and the script file is transferred into a frame structure in database systems. Specifically, designing a frame structure in the database model as it is, it can facilitate management and utilization of knowledge in expert systems. To test the appropriateness of the proposed knowledge base model, a prototype system has been developed using a commercial ODBMS called ObjectStore and C++ programming language.

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Construction of Knowledge Base for Fault Tracking Expert System in Semiconductor Production Line (반도체 생산 라인에서의 이탈 처리 추적 전문가 시스템의 지식베이스 구축)

  • 김형종;조대호;이칠기;김훈모;노용한
    • Journal of Institute of Control, Robotics and Systems
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    • v.5 no.1
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    • pp.54-61
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    • 1999
  • Objective of the research is to put the vast and complex fault tracking knowledge of human experts in semiconductor production line into the knowledge base of computer system. We mined the fault tracking knowledge of domain experts(engineers of production line) for the construction of knowledge base of the expert system. Object oriented fact models which increase the extensibility and reusability have been built. The rules are designed to perform the fault diagnosis of the items in production device. We have exploited the evidence accumulation method to assign check priority in rules. The major contribution is in the overall design and implementation of the nile base and related facts of the expert system in object oriented paradigm for the application of the system in fault diagnosis in semiconductor production line.

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Chromosome Analysis System based on Knowledge Base for CAI (지식 베이스를 이용한 교육용 염색체 분석 시스템)

  • 박정선;신용원
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 2001.06a
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    • pp.215-222
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    • 2001
  • The task for chromosome analysis and diagnosis by experienced cytogenetists are being concerned as repetitive, time consuming job and expensive. FOr that reason, chromosome analysis system based on knowledge base for CAI had been established to be able to analyze chromosomes and obtain necessary advises from the knowledge base instead of human experts. That s to say, knowledge base by IF THEN production rule was implemented to a knowledge domain with normal and abnormal chromosomes, and then the inference results by knowledge base could enter the inference data into the database. Experimental data were composed of normal chromosome of 2,736 patients'cases and abnormal chromosomes of 259 patients'cases that have been obtained from GTG-banding metaphase peripheral blood and amniotic fluid samples. The complete system provides variously morphological information by analysis of normal or abnormal chromosomes and it also has the advantage of being able to consult with user on chromosome analysis and diagnosis.

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Knowledge Base Verification Based on Enhanced Colored Petri Net

  • Kim, Jong-Hyun;Seong, Poong-Hyun
    • Proceedings of the Korean Nuclear Society Conference
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    • 1997.10a
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    • pp.271-276
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    • 1997
  • Verification is a process aimed at demonstrating whether a system meets it's specified requirements. As expert systems are used in various applications, the knowledge base verification of systems fakes an important position. The conventional Petri net approach that has been studied recently in order to verify the knowledge base is found that it is inadequate to verify the knowledge base of large and complex system, such as alarm processing system of nuclear power plant. Thus, we propose an improved method that models the knowledge base as enhanced colored Petri net. In this study. we analyze the reachability and the error characteristics of the knowledge base and apply the method to verification of simple knowledge base.

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Architecture of knowledge-Base and Management System for Grining Operations (연삭가공용 데이타베이스 설게와 활용(기존지식베이스에 관하여))

  • Kim, G.H.;Inasaki, I.;Lee, J.K.
    • Journal of the Korean Society for Precision Engineering
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    • v.11 no.1
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    • pp.211-218
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    • 1994
  • Grinding is considered as a very effective machining technology to attain high production rates and a good surface quality of hard and brittle components. However, the grinding operations till needs the skill and the experience of an operator because of a lack of scientific knowledge and engineering principles. This is the reason why grinding operations are not completley intergrated in CIMS(Computer Intergrated Manufacturing System. Recent develop- ment focus on expert system which deals with domain specific knowledge in order to solve this problem. Firstly, in this study, a basic strategy to develop the grinding knowledge-base for grinding is discussed. Next, the architecture of knowledge-base and management of the grinding knowledge-base(GKB) is described.

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An Implementation of Expert System wiht Knowledge Acquisition System (지식 획득 시스템을 갖춘 전문가 시스템의 구현)

  • Seo, Ui-Hyeon
    • The Transactions of the Korea Information Processing Society
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    • v.7 no.5
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    • pp.1434-1445
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    • 2000
  • An expert system executes the inference, based on the knowledge of specific domain. the reliability on the results of inference depends upon both the consistency and accuracy of knowledge. This is the reason why expert system requires the facilities which can practice an access to the various kinds of knowledge and maintain the consistency and accuracy of knowledge an maintain the consistency and accuracy of knowledge. This paper is to implement an expert system permitting an access of declarative and procedural knowledge in the knowledge base and in the data base. This paper is also to implement a knowledge acquisition system which adds the knowledge a only if its accuracy and consistency are maintained, after verifying the potential errors such as contradiction, redundancy, circulation, non-reachable rule and non-lined rule. In consequence, the expert system realizes a good access to the various sorts of knowledge and increases the reliability on the results of inference. The knowledge acquisition system contributes tro strengthening man-machine interface that enables users to add the knowledge easily to the knowledge base.

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Electrical Fire Cause Diagnosis System based on Fuzzy Inference

  • Lee, Jong-Ho;Kim, Doo-Hyun
    • International Journal of Safety
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    • v.4 no.2
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    • pp.12-17
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    • 2005
  • This paper aims at the development of an knowledge base for an electrical fire cause diagnosis system using the entity relation database. The relation database which provides a very simple but powerful way of representing data is widely used. The system focused on database construction and cause diagnosis can diagnose the causes of electrical fires easily and efficiently. In order to store and access to the information concerned with electrical fires, the key index items which identify electrical fires uniquely are derived out. The knowledge base consists of a case base which contains information from the past fires and a rule base with rules from expertise. To implement the knowledge base, Access 2000, one of DB development tools under windows environment and Visual Basic 6.0 are used as a DB building tool. For the reasoning technique, a mixed reasoning approach of a case based inference and a rule based inference has been adopted. Knowledge-based reasoning could present the cause of a newly occurred fire to be diagnosed by searching the knowledge base for reasonable matching. The knowledge-based database has not only searching functions with multiple attributes by using the collected various information(such as fire evidence, structure, and weather of a fire scene), but also more improved diagnosis functions which can be easily wed for the electrical fire cause diagnosis system.

LMT Diagnosis Assistance System for Art Therapy (미술 치료를 위한 LMT 그림 진단 지원 시스템)

  • So, Hyeongyeong;Seo, Younghoon
    • Journal of Platform Technology
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    • v.6 no.1
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    • pp.24-30
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    • 2018
  • LMT consisting of 10 landscape elements is one of psychology diagnosis method for inspecting the psychological state of client. In this paper, we make knowledge base accumulating knowledge about LMT landscape elements. By using this knowledge base, we also propose and implement LMT diagnosis assistance system generating LMT inspection report being a result of diagnosis. This proposed system generates diagnosis report based on LMT knowledge base which accumulate knowledge from plenty of reference and research project, that's why we improve the objectivity of diagnosis results. And new knowledge about LMT can be accumulated in knowledge base, so the system proposed in this paper can be extensible continuously. The implementation of system proposed in this paper offers web-based services. To show effectiveness of the system, we diagnose the actual case by using the system, and show the diagnosis result.

Development of a Adaptive Knowledge Base Object Model for Intelligent Tutoring System (지능형 교육 시스템을 위한 적응적 지식베이스 객체 모형 개발)

  • Kim Yong-Beom;Kim Yung-Sik
    • The KIPS Transactions:PartB
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    • v.13B no.4 s.107
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    • pp.421-428
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    • 2006
  • Intelligent Tutoring System(ITS), which offers individualized learning environment that consider many learners' variable, is realized by the effective alternative to take the place of domain expert. Accordingly, research on Learning Companion System(LC) is currently noticing. However, to develop LCS which applies effective interaction, it is necessary to combine several LCs, and personalized knowledge base have to be made first. Therefore, in this paper, we propose the 'Knowledge Base Object Medel', which is based on connectionist' in cognition structure, represents learner's knowledge to self-learnig object, and grows adaptive object by proprietor, verify the validity. This model lays the groundwork for design of personalized knowledge base, offers clue to development of adaptive ITS using knowledge base object.