• Title/Summary/Keyword: knowledge-base

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A Qualitative Knowledge Model for Large Scale Cognitive System (대규모 인지 시스템을 위한 정성적 지식 모델의 개발)

  • Kim Hyeon Kyeong
    • Korean Journal of Cognitive Science
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    • v.15 no.4
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    • pp.15-20
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    • 2004
  • To develop a cognitive system with the flexibility and breadth of human, it's very important to construct a large scale knowledge base which include commonsense knowledge as well as expert knowledge. Efficient knowledge representation and reasoning techniques will play a key role for this. This paper introduce a cognitive system which is based on Cyc knowledge base and augmented with our work on qualitative and spatial representation and reasoning. Our system has been implemented and tested on various examples.

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An Understanding of Elementary School Students on the Acid-Base, Acid Rain and Soil Acidification (초등학생들의 산-염기, 산성비, 토양산성화에 대한 이해)

  • KIM, Sung-Kyu
    • Journal of Fisheries and Marine Sciences Education
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    • v.27 no.6
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    • pp.1764-1782
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    • 2015
  • The purpose of this study is to investigate the understanding on the acid-base, acid rain and soil acidification of the elementary students. The participants in the current study were 280 6th graders from a elementary school in Gyeongnam Province. A questionnaire consists of four categories: understanding of (a) acid-base basic knowledge, (b) acid rain and (c) soil acidification. (d) In addition, students were asked to comment about the introduction of the acid rain experiment in the science textbook. The results are as follows; First, the results regarding acid-base basic knowledge. They know the classification, characteristics, and properties of acid-based solutions well but they don't know the acid-base neutralization, examples using properties and application in real life. Second, the results regarding acid rain, students know the definition and damage of acid rain but they don't know the causing substances, emission source and way of solution of acid rain for lack of knowledge. Third, the results regarding soil acidification was the well-known part for the students because they had continued learning about the soil from the lesson of acid rain. Also, we looked into the difference in gender and region about the understanding of acid-base, acid rain and soil acidification. According to the gender of the data about the understanding of acid-base, acid rain and soil acidification, the percentage of correct answers of female was higher than male's. Also we expected that urban students were higher than rural students on the understanding of acid-base, acid rain and soil acidification, but the understanding of urban students were similar to rural students. Fourth, we got positive answers and negative answers to the introduction of acid rain experiment. Most of the positive opinion were I want to know a lot acid rain experiment", followed by "It is possible to prevent the risk of the damage and It seems to having fun and new order. Most of the negative opinion were Acid rain experiment may be difficult and complicated followed by Just a theory in the book is enough, Acid rain experiment were boring and not fun, Acid rain experiment is dangerous, There are many to study in this order.

Influenza A (H1N1) Regional Base Hospital Nurse's Knowledge, Awareness and Practice of Infection Control (지역거점병원 간호사의 신종인플루엔자 관련 지식, 감염관리 인지도 및 이행도)

  • Yang, Nam-Young;Choi, Jeong-Sil
    • Korean Journal of Adult Nursing
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    • v.21 no.6
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    • pp.593-602
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    • 2009
  • Purpose: This study was to provide baseline data about nurses' Influenza A (H1N1) knowledge, awareness, and practice of infection control and to identify the significant factor affecting the level of practice. Methods: The subjects of this study were 144 nurses who worked at Influenza A (H1N1) regional base Hospital in D city. Data were collected by self-reported questionnaires during September 2009. The collected data were analyzed using SPSS/WIN 12.0 program. Results: The knowledge of Influenza A (H1N1) was statistically different according to age, unit, career and experience of seasonal influenza vaccination during the last year. The awareness of infection control was statistically different according to age, career, experience of seasonal influenza vaccination for last year and intention to get seasonal influenza vaccination for this year. The practice of infection control was statistically different according to unit, experience of seasonal influenza vaccination for last year, intention to get seasonal influenza vaccination for this year and intention to get Influenza A (H1N1) vaccination for this year. There was positive correlation among knowledge, awareness and practice (p < .05). Awareness was the significant factor affecting the level of practice. Conclusion: An educational program focusing on strategy to change nurse's awareness can be effective for infection control of Influenza A (H1N1) in regional base hospitals.

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Study on Inference and Search for Development of Diagnostic Ontology in Oriental Medicine (한의진단 Ontology 구축을 위한 추론과 탐색에 관한 연구)

  • Park, Jong-Hyun
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.23 no.4
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    • pp.745-750
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    • 2009
  • The goal of this study is to examine on reasoning and search for construction of diagnosis ontology as a knowledge base of diagnosis expert system in oriental medicine. Expert system is a field of artificial intelligence. It is a system to acquire information with diverse reasoning methods after putting expert's knowledge in computer systematically. A typical model of expert system consists of knowledge base and reasoning & explanatory structure offering conclusion with the knowledge. To apply ontology as knowledge base to expert system practically, consideration on reasoning and search should be together. Therefore, this study compared and examined reasoning, search with diagnosis process in oriental medicine. Reasoning is divided into Rule-based reasoning and Case-based reasoning. The former is divided into Forward chaining and Backward chaining. Because of characteristics of diagnosis, sometimes Forward chaining or backward chaining are required. Therefore, there are a lot of cases that Hybrid chaining is effective. Case-based reasoning is a method to settle a problem in the present by comparing with the past cases. Therefore, it is suitable to diagnosis fields with abundant cases. Search is sorted into Breadth-first search, Depth-first search and Best-first search, which have respectively merits and demerits. To construct diagnosis ontology to be applied to practical expert system, reasoning and search to reflect diagnosis process and characteristics should be considered.

A Study on the Automatic Synthesis of Signed Directed Graph Using Knowledge-based Approach and Loop Verification (지식 기반 접근법과 Loop 검증을 이용한 부호운향그래프 자동합성에 관한 연구)

  • Lee Sung-gun;An Dae-Myung;Hwang Kyu Suk
    • Journal of the Korean Institute of Gas
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    • v.2 no.1
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    • pp.53-58
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    • 1998
  • By knowledge-based approach, the SDG(Signed Directed Graph) is automatically synthesized, which is commonly used to represent the causal effects between process variables. Automatic synthesis of SDG is progressed by two steps : (1)inference step uses knowledge base and (2)verification step uses Loop-Verifier. First, Topology and Knowledge Base are constructed by using the information on equipment. And then, Primary-SDG is synthesized by Character Pattern Matching between Variable-Relation-Representation generated by using Topology and Variable-Tendency-Data contained in Knowledge Base. Finally, a modified SDG is made after the Primary-SDG is verified by Loop-Verifier.

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Design and Implementation of Agent Systems based on Case Markup Language for e-Leaning (e-Learning을 위한 사례 마크업 언어 기반 에이전트 시스템의 설계 및 구현 :사례 기반 학습자 모델을 중심으로)

  • 한선관;윤정섭;조근식
    • The Journal of Society for e-Business Studies
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    • v.6 no.3
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    • pp.63-80
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    • 2001
  • The construction of the students knowledge in e-Learning systems, namely the student modeling, is a core component used to develop e-Learning systems. However, existing e-Learning systems have many problems to share the knowledge in a heterogeneous student model and a distributed knowledge base. Because the methods of the knowledge representation are different in each e-Learning systems, the accumulated knowledge cannot be used or shared without a great deal of difficulty. In order to share this knowledge, existing systems must reconstruct the knowledge bases. Consequently, we propose a new a Case Markup Language based on XML in order to overcome these problems. A distributed e-Learning systems fan have the advantage of easily sharing and managing the heterogeneous knowledge base proposed by CaseML. Moreover students can generate and share a case knowledge to use the communication protocol of agents. In this paper, we have designed and developed a CaseML by using a knowledge markup language. Furthermore, in order to construct an intelligent e-Learning systems, we have done our research based on the design and development of the intelligent agent system by using CaseML.

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Intelligent Anti-Money Laundering Systems Development for the Korea Financial Intelligence Unit

  • Shin Kyung-Shik;Kim Hyun-Jung;Lee In-Ho;Kim Hyo-Sin;Kim Jae-Sik
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 2006.06a
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    • pp.294-300
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    • 2006
  • This case study shows constructing the knowledge-based system using a rule-based approach for detecting transactions regarding money laundering in the Korea Financial Intelligence Unit (KoFIU). To better manage the explosive increment of low risk suspicious transactions reporting from financial institutions and to conjugate data converged into the KoFIU from various organizations, the adoption of a knowledge-based system is definitely required. We designed and constructed the knowledge-based system for anti-money laundering by committing experts of each specific financial industry co-worked with a knowledge engineer. The outcome of the knowledge base implementation shows that the knowledge-based system is filtering STRs in the primary analysis step efficiently and so has made great contribution to improve efficiency and effectiveness of the analysis process. It can be said that establishing the foundation of the knowledge base under the entire framework of the knowledge-based system for consideration of knowledge creation and management is indeed valuable.

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Implementation of the knowledge management system to effectively utilize human and intellectual resources of the universities (대학의 인적.지적 자원의 효과적 활용을 위한 지식 관리 시스템 구현)

  • 최재원;박진규
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2002.05a
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    • pp.473-476
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    • 2002
  • In this paper by realizing the knowledge base on the web, for example, the information of the technology and human resources of the universities, which is the mecca of the knowledge management, technology information in various segment, education information, visible anti invisible knowledge information like technical advice, etc, and scholaristic knowledge like basic science technologies, economic theories which are verified by experts of the field, and pragmatic knowledge like technical patent, software, data base, also, hands on experience and knowledge like field technology, customer service, front line management. All those related information provides easy access to anyone who need of. This system is also designed for the utilization of the study, company activities, and professionals of the basic science technology which enables not only professor to exchange the research results but also, general public, companies, students can effectively share and exchange the information.

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The Stocks Profit Rate Analysis which Uses Individual.Engine.foreigner.Knowledge Base HTS at The Bear Period.The Bear Wave Period.The Bull Period.The Bull Wave Period (하락기.하락조정기.상승기.상승조정기에 개인.기관.외국인.Knowledge Base HTS를 이용한 주식 수익률 분석)

  • Yi, Jeong-Hoon;Park, Dea-Woo
    • Journal of the Korea Society of Computer and Information
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    • v.15 no.1
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    • pp.207-217
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    • 2010
  • It is taken a violent fall of the international stocks market that was an American Subprime Mortgage Situation. The loss rate of individual investor judged than foreigner and institution by bigger thing. Therefore, further scientific and mechanical investment is needed at the stock investment using Internet HTS. This dissertation is stocks profit rate analysis which uses individual engine foreigner Knowledge Base HTS at the Bear Period the Bear Wave Period the Bull Period the Bull Wave Period. Knowledge Based e-friend HTS was Installed. HTS does composite stock exchange index in actuality stock trading and engine's fund earning rate, yield that is abroad comparative analysis using trend line that is HTS tool, MACD, Bollinger Bands, Stochastic slow's function. Usually, each subjects suppose that deal 5 stocks, and comparative study of the profit(loss)rate of the down to earth falling rate and rising rate, by comparing the earning rate of 5 Small capital stocks with 5 medium capital stocks and 5 Large capital stocks during the bear period, the bear wave period, the bull period, the bull wave period has meaning at the making research of the financial IT field.

Automatic Feneration of BOM Using Knowledge-Based System (지식 베이스를 이용한 CAD 도면에서의 BOM 자동생성)

  • 이영엽;도남철;장수영;최인준;정무영;박춘렬
    • 제어로봇시스템학회:학술대회논문집
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    • 1993.10a
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    • pp.970-974
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    • 1993
  • This paper is concerned with an automatic generation of BOM (Bill Of Material) for a bicycle frame set using a knowledge based system. The major components module system includes : (1) Part information retrieval in CAD drawing, (2) BOM code generation rule, and (3) Database interface. The knowledge based system includes a rule base and a fact base. The fact base consists of basic, variant, and optional components of the standard BOMs of frame sets. The rule contains rules for generating new BOM code in case that the specified is not in the database. The system was implemented on a SUN workstation under Open Windows environments. AutoCAD for CAD drawing was also used.

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