• Title/Summary/Keyword: knowledge search

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PSA: A Photon Search Algorithm

  • Liu, Yongli;Li, Renjie
    • Journal of Information Processing Systems
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    • v.16 no.2
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    • pp.478-493
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    • 2020
  • We designed a new meta-heuristic algorithm named Photon Search Algorithm (PSA) in this paper, which is motivated by photon properties in the field of physics. The physical knowledge involved in this paper includes three main concepts: Principle of Constancy of Light Velocity, Uncertainty Principle and Pauli Exclusion Principle. Based on these physical knowledges, we developed mathematical formulations and models of the proposed algorithm. Moreover, in order to confirm the convergence capability of the algorithm proposed, we compared it with 7 unimodal benchmark functions and 23 multimodal benchmark functions. Experimental results indicate that PSA has better global convergence and higher searching efficiency. Although the performance of the algorithm in solving the optimal solution of certain functions is slightly inferior to that of the existing heuristic algorithm, it is better than the existing algorithm in solving most functions. On balance, PSA has relatively better convergence performance than the existing metaheuristic algorithms.

Searching River Information using Ontology (온톨로지를 이용한 하천 데이터의 검색)

  • Yoon, Hong-Kyu;Yoo, Sang-Bong
    • Journal of Korea Spatial Information System Society
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    • v.2 no.2 s.4
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    • pp.117-126
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    • 2000
  • As the geographical information changes continuously, it has been difficult to manage it in consistent manner. Especially different terminologies are often used for describing the same object. These characteristics of geographical information make the information search be very unproductive. Recently, it is widely recognized that capturing more knowledge is the next step to overcome the current difficulties on sharing geographical information. In this paper, we utilize the ontology concept in order to facilitate information search for geographical data in the internet environment. A prototype of search system implemented using the ontology for river-related data is presented.

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User Perceptions of Uncertainty in the Selection of Information Retrieval System: Implications for System and Service Improvement

  • Kim, Yang-Woo
    • International Journal of Contents
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    • v.5 no.3
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    • pp.40-49
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    • 2009
  • While numerous studies have suggested the significance of uncertainty during the process of information-seeking, less research has investigated user uncertainty in the actual search process using a real system. This study investigated user perceptions of uncertainty in the process of the selection of information retrieval system in the real information-seeking process. Considering the role of commercial Web search engines as supplementary tools for traditional bibliographic databases in academic research environments, this study analyzed the selection behavior of scholarly researchers, who use such search tools for their academic study. The researchers were limited to the discipline of science in order to understand user perceptions in this field. The findings revealed various dimensions, types, and incidents of uncertainty. Variations appeared in different incidents of uncertainty relating to the unique characteristics of the subjects' information-seeking context. The identification of three principal origins of uncertainty based on the different types of uncertainty generated implications to improve information systems and services.

Design and Implementation of Medical Education System using Mesh-Up Meta-Search Program (메쉬업을 통한 의학교육 메타검색시스템의 설계 및 구현)

  • Jung, Yong-Gyu;Choi, Jae-Kwan;Choi, Young-Jin
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.11 no.4
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    • pp.119-123
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    • 2011
  • In recent years, several technologies have brought many changes in the field of education. Nonetheless, it is difficult to get freely medical and professional knowledge in the educational environment. In this paper, we study a free medical education system for medical education through service to the Mashup offers a meta-search system. Received permission to use the system API to retrieve the content API, data retrieval systems and video content via the API to design a system, based on this medical education, meta-search system is implemented.

Challenge of Understanding Multichannel Customer Behavior in 21st Century: A Meta-analysis

  • Kim, Soohyun;Ahn, Insook
    • Journal of Fashion Business
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    • v.18 no.3
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    • pp.14-28
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    • 2014
  • The purposes of this study are to provide comprehensive reviews on multichannel consumer behaviors published in peer-reviewed academic journals from 2005 to 2014, to develop a conceptual framework that demonstrates multichannel determinants such as psychographics, demographics, social influences, and situational factors on consumers' search and purchase behavior based on customers' profits or costs judgment, and to provide possible direction for future research in multichannel consumer behavior. Three steps were taken in the process of analyzing consumers' channel determinants presented in the 37 studies, and 12 most frequently used factors that appear in the studies were extracted. These factors include convenience, service, trust/risk, saving money, product knowledge, experience, efficacy/usefulness, involvement, shopping environment/situation factors, demographics, product types, and social influence. With 12 determinants of multichannel consumers' search and purchase behavior, a conceptual framework was proposed based on expectancy theory. The directions for future research were also discussed.

Management of Knowledge and Information Resources Made by Research Institutes: Focusing on the Homepags of Educational Research Institutes (연구기관 생산 지식정보자원 관리에 관한 연구: 교육연구기관 홈페이지를 중심으로)

  • Lee, Myeong-Hee
    • Journal of Korean Library and Information Science Society
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    • v.46 no.1
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    • pp.177-202
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    • 2015
  • This research was conducted to evaluate whether knowledge and information resources produced in four educational institutions function as a knowledge management system in the institutions, and to suggest a proposed plan for the foundation of the national knowledge management system. Knowledge and information resources available on the institutes' websites were classified as 'knowledge and information resources of result', 'knowledge and information resources of process', and 'knowledge and information resources of communication'. The application of metadata and the configuration of the search system were examined by content analysis method. From the result, 8 ways to improve the management of knowledge and information resources have been found; the development of standardized metadata and classification scheme, high recognition that the website is a counter for external distribution of knowledge and information resources, various searching skills and the provision of knowledge maps available, provision of linked information for original information acquisition, awareness of the agency managers and homepage managers to the homepages as knowledge management systems, segmentation of appropriate data size unit in a mobile environment work, an organic linkage function of the internal electronic approval system and the homepage have been proposed.

The Effect of User-Centered Categorization System of Homepages on Directory Search (사용자 중심의 홈페이지 분류체계가 분류 검색에 미치는 효과)

  • 박창호;염성숙;이정모
    • Korean Journal of Cognitive Science
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    • v.11 no.1
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    • pp.47-65
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    • 2000
  • Categorization systems of homepages in search engines are likely to be constructed considering system's efficiency only but not user-centered. This study I investigated user's mental model of superordinate and subordinate categories using category terms of major Korean search engines. From this result, we constructed two kinds of categorization system; redundant system and singular system. In the redundant system, for example, a subordinate category can belong to a number of superordinate categories, but in the singular system to only one superordinate category Three prototype categorization systems, with 'Simmani', were designed and search performances of each system were observed repetitively Overall results, with frequency of correct a answers, number of steps and time taken in solution taken into account, showed the redundant system was superior to the other two systems. This indicates that categorization search could be improved with appropriate categorizaton system. However. l in recognition test score in singular system was the best, which indicates that search performance and recognition memory of categorization reveal different aspects of categorization system learning. Issues of category organization. ways of interface, prior knowledge, exploratory learning, and application areas are discussed further.

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Optimization of Unit Commitment Schedule using Parallel Tabu Search (병렬 타부 탐색을 이용한 발전기 기동정지계획의 최적화)

  • Lee, yong-Hwan;Hwang, Jun-ha;Ryu, Kwang-Ryel;Park, Jun-Ho
    • Journal of KIISE:Software and Applications
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    • v.29 no.9
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    • pp.645-653
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    • 2002
  • The unit commitment problem in a power system involves determining the start-up and shut-down schedules of many dynamos for a day or a week while satisfying the power demands and diverse constraints of the individual units in the system. It is very difficult to derive an economically optimal schedule due to its huge search space when the number of dynamos involved is large. Tabu search is a popular solution method used for various optimization problems because it is equipped with effective means of searching beyond local optima and also it can naturally incorporate and exploit domain knowledge specific to the target problem. When given a large-scaled problem with a number of complicated constraints, however, tabu search cannot easily find a good solution within a reasonable time. This paper shows that a large- scaled optimization problem such as the unit commitment problem can be solved efficiently by using a parallel tabu search. The parallel tabu search not only reduces the search time significantly but also finds a solution of better quality.

Concept of Science and Indices of Scientification in the Task of 'Scientification of Korean Medicine' ('한의학 과학화'명제에서 과학의 개념과 과학화의 목록)

  • Chi, Gyoo Yong
    • Journal of Physiology & Pathology in Korean Medicine
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    • v.33 no.6
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    • pp.303-310
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    • 2019
  • In order to search for the causes of having difficulty with the scientification task of the Korean medicine, the definition and conception of science were reviewed first and then formalization of reasoning scheme and a practical method of scientification were proposed. Science in its definition is meant by foundation of method and system for production of scientific knowledge not by knowledge of science itself. The formation of science is composed of complex processes including not only scientific knowledge but also politicosocial output containing activity of scientist society, spreading of social value and intercommunication. The production of scientific knowledge of Korean medicine is begun from logicality of the differential diagnosis and treatment theory through abductive verification of analogical inference by yinyang and 5 phase theory. For the commensurability between the various heterogenic theories within Korean medicine, the scientific activity of collecting, compiling, analyzing, distributing, and discussing the significant knowledge gained through abductive verification in the experiment and clinical process should be formed broadly. Based on these knowledge database, organization of scientist society with Korean medicine, life science, medical engineering, social expansion and generalization of pattern conception, and then social propagation and contribution for national health should be driven forward.

Proposing and Validating a Classification Method based on Knowledge Structure to Identify High-Quality Presentation Slides (고품질 슬라이드 선별을 위한 지식구조 기반 분류 기법)

  • Jung, Wonchul;Kim, Seongchan;Yi, Mun Y.
    • KIISE Transactions on Computing Practices
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    • v.20 no.12
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    • pp.676-681
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    • 2014
  • In order to discern and classify high-quality slides, our research proposes a classification method that utilizes a knowledge structure containing information on the presentation slides. After analyzing whether our knowledge structure captures the content's quality information, we developed a classification method based on the knowledge structure produced from the analysis results. With the proposed method, we compared results classified by quality of presentation slides. Through this comparison, we verified that the slides in the high quality group could be classified and were able to retrieve high quality slides. The results show that, by utilizing the cognitive model of a knowledge structure, our method can increase the effectiveness of classification when search or recommendation is conducted mainly with high-quality slides.