• Title/Summary/Keyword: Web-Based Expert System

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A Study on Improvement Plans for National Archives of Korea Website's Search Service through Its Usability Evaluation (국가기록원 웹사이트 검색서비스의 사용성 평가를 통한 개선방안 연구)

  • Lee, Hyojin;Kim, Jihyun
    • Journal of Korean Society of Archives and Records Management
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    • v.21 no.3
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    • pp.187-215
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    • 2021
  • Archives should provide a web-based archival information service with good usability based on the understanding of users' needs. Thus, this study analyzed the usability of the National Archives of Korea (NAK) website's search service through expert and usability evaluations for various users and suggested improvement plans. A literature review, heuristic evaluation, one of the usability expert evaluation methods, and usability evaluation for users were performed. As a result of expert evaluation, the severity rating for the usability problem was highest regarding a match between the system and real world and the lowest in error prevention. In the usability evaluation, it was assumed that the user's background and whether the website's help was provided is associated with usability. Usability evaluation was conducted for 22 participants, including those majoring in records management, web/application developers, and people without such backgrounds. Furthermore, a presurvey, a five-second test, and search tasks were conducted in a row. The analysis based on usability components in ISO 9241-11: 2018, i.e., effectiveness, efficiency, and satisfaction, showed that web/application developers had the highest search effectiveness, and those majoring in records management showed high effectiveness only in the search for archival content services. Background factors did not affect efficiency, and the more familiar with the finding aids, the better the efficiency. Moreover, providing the website's help was found to be positively associated with effectiveness and satisfaction. This study suggests that the NAK website will offer a user-friendly interface and search function, expand help support, and display a consistent web interface.

Proposal of WebGIS-based Korean Archaeological Dictionary Information Service Model (WebGIS 기반 한국고고학사전 정보서비스 모델의 제안)

  • KANG Dongseok
    • Korean Journal of Heritage: History & Science
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    • v.57 no.1
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    • pp.6-19
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    • 2024
  • The Korean Archaeological Dictionary, which represents Korean archaeological knowledge information, contains refined and high-quality information written by expert collective intelligence. This is a characteristic that clearly distinguishes it from overseas archaeological data archives, and can be called differentiated infrastructure data. However, it has not played a role as an information service or knowledge information platform reflecting the latest digital technology. As a way to maximize these strengths and compensate for weaknesses, it was proposed to develop and operate a GIS-based knowledge and information platform for Korean archaeology. To realize this, it is necessary to develop a title management system centered on repositories and metadata that can collect and store various information, link open linked data design and related systems, develop a search function that can analyze and visualize data in response to the big data era, and establish a WebGIS-based information service system. This will be a platform to continuously manage, supplement, and update Korean archaeological knowledge information, build a ubiquitous environment where anyone can use information anytime, anywhere, and create various types of business models.

A Study on Design and Implementation of Automatic Product Information Indexing and Retrieval System for Online Comparison Shopping on the Web (웹 상의 온라인 비교 쇼핑을 위한 상품 정보 자동 색인 및 검색 시스템의 설계 및 구현에 대한 연구)

  • 강대기;이제선;함호상
    • The Journal of Society for e-Business Studies
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    • v.3 no.2
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    • pp.57-71
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    • 1998
  • In this paper, we describe the approaches of shopping agents and directory services for online comparison shopping on the web, and propose an information indexing and retrieval system, named InfoEye, with a new method for automatic extraction of product information. The developed method is based on the knowledge about presentation of the product information on the Web. The method from the knowledge about presentation of the product information is derived from both the point that online stores display their products to customers in easy-to-browse ways and heuristics made of analyses of product information look-and-feel of domestic online stores. In indexing process, the method is applied to product information extraction from Hypertext Markup Language (HTML) documents collected by a mirroring robot from online stores. We have made InfoEye to a readily usable stage and transferred the technology to Webnara commercial shopping engine. The proposed system is a cutting-edge solution to help customers as a shopping expert by providing information about the reasonable price of a product from dozens of online stores, saving customers shopping time, giving information about new products, and comparing quality factors of products in a same category.

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A Design and Implementation of Diagnosis System of Learning Misconception by Using Fuzzy Theory (퍼지 이론을 이용한 학습오인 진단 시스템 설계 및 구현)

  • Lee, Hyeon-No;Ra, Sang-Suk;Choi, Yeong-Sik
    • Journal of Digital Convergence
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    • v.4 no.2
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    • pp.143-151
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    • 2006
  • The purpose of this paper is to make a design and implementation of a diagnosis system of learning misconception of students who learn 'be' verb in the English language by using fuzzy theory. In this system, a fuzzy cognitive map exposes the fact that students' perception and misunderstanding about 'the English' language have an intertwined relationship, and diagnoses causes of misconceptions of students by using fuzzy memory associative memory. It suggests that since most existing systems of rule based expert system have had several limitations, this system will be applied to diagnose learners' misconception of learning in varieties of education areas.

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A Design and Implementation of Diagnosis System of Learning Misconception by Using Fuzzy Theory (퍼지 이론을 이용한 영어학습 진단 시스템 설계 및 구현)

  • Lee, Hyeon-No;Ra, Sang-Suk;Choe, Yeong-Sik
    • 한국디지털정책학회:학술대회논문집
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    • 2006.06a
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    • pp.451-459
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    • 2006
  • The purpose of this paper is to make a design and implementation of a diagnosis system of learning misconception of students who learn 'be' verb in the English language by using fuzzy theory. In this system, a fuzzy cognitive map exposes the fact that students' perception and misunderstanding about 'the English' language have an intertwined relationship, and diagnoses causes of misconceptions of students by using fuzzy memory associative memory. It suggests that since most existing systems of rule based expert system have had several limitations, this system will be applied to diagnose learners' misconception of learning in varieties of education areas.

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Development of Database and QA Systems for Post Closure Performance Assessment on A Potential HLW Repository

  • Hwang, Y-S;Kim, S-G;Kang, C-H
    • Nuclear Engineering and Technology
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    • v.34 no.4
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    • pp.406-414
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    • 2002
  • In TSPA of long-term post closure radiological safety on permanent disposal of HLW in Korea, appropriate management of input and output data through QA is necessary. The robust QA system is developed using the T2R3 principles applicable for five major steps in R&D's. The proposed system is implemented in the web-based system so that all participants in TSPA are able to access the system. In addition, the internet based input database for TSPA is developed. Currently data from literature surveys, domestic laboratory and field experiments as well as expert elicitation are applied for TSPA.

A Study on the Implementation of Korean History Contents Service based on Linked Open Data (LOD 기반 한국사 콘텐츠 서비스 구축에 관한 연구)

  • Yoon, So Young
    • Journal of the Korean Society for information Management
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    • v.30 no.3
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    • pp.297-315
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    • 2013
  • Anyone curious to easily access and learn Korean history has become interested in Korean history data bases, which will provide accurate and reliable historical information. Furthermore, user demands for information sharing and reusability, available through setting up a semantic web, have been increased, which have taken the shape of linked data. Efforts have been made to construct public data bases containing readily usable contents a user can understand and utilize with ease. They have been produced by several organizations, portal sites, and individuals, trying to deviate from existing mainstreams - expert-based text data bases. A problem with those data bases is that they have not considered such vital factors as the sharing and utilizing of information as a whole. This study suggests a LOD-based Korean history contents implementation system, providing rich information environment by way of multi-dimensional web-data connections. In doing so, this system has tried a historic information circulation service system which is based on information sharing and connecting.

Design and Implementation of an Expert Search System Using Academic Data in Big Data Processing Platforms (빅데이터 처리 플랫폼에서 학술 데이터를 사용한 전문가 검색 시스템 설계 및 구현)

  • Choi, Dojin;Kim, Minsoo;Kim, Daeyun;Lee, Seohee;Han, Jinsu;Seo, Indeok;Lim, Jongtae;Bok, Kyoungsoo;Yoo, Jaesoo
    • The Journal of the Korea Contents Association
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    • v.17 no.3
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    • pp.100-114
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    • 2017
  • Most of the researchers establish research directions to conduct the study of new fields by getting advice from experts or through the papers of experts. The existing academic data search services provide paper information by field but do not provide experts by field. Therefore, users should decide experts by field using the searched papers by themselves. In this paper, we design and implement an expert search system by discipline through big data processing based on papers that have been published in the academic societies. The proposed system utilizes distributed big data storage systems to store and manage large papers. We also discriminate experts and analyze data related to the experts by using distributed big data processing technologies. The processed results are provided through web pages when a user searches for experts. The user can get a lot of helps for the research of a particular field since the proposed system recommends the experts of the corresponding research field.

A Bridge Management System Using Wireless Sensor Networks (무선 센서망을 이용한 교량 관리 시스템)

  • Park, Chan-Heum;Kim, Young-Rag;Kim, Geum-Deok;Park, Hee-Joo;Kim, Chong-Gun
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.35 no.5B
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    • pp.824-832
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    • 2010
  • In construction structure management, the effects of investigation by the professional manager is dependent on the cost, the inspection periods and methods. Therefore, effective and automated maintenance system for the target structure is required. Although some bridge monitoring systems are operating using wire based networks, the performance is not good enough to show sufficient ability as integrated bridge management system. In this paper, we design and implement an integrated bridge management system based on sensor networks. Two expert modules for bridge management and the integrated system management are provided. Moreover, web-based monitoring system is also designed for users at anywhere. The results show that the system is effective and readily available.

Clustering Analysis of Films on Box Office Performance : Based on Web Crawling (영화 흥행과 관련된 영화별 특성에 대한 군집분석 : 웹 크롤링 활용)

  • Lee, Jai-Ill;Chun, Young-Ho;Ha, Chunghun
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.39 no.3
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    • pp.90-99
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    • 2016
  • Forecasting of box office performance after a film release is very important, from the viewpoint of increase profitability by reducing the production cost and the marketing cost. Analysis of psychological factors such as word-of-mouth and expert assessment is essential, but hard to perform due to the difficulties of data collection. Information technology such as web crawling and text mining can help to overcome this situation. For effective text mining, categorization of objects is required. In this perspective, the objective of this study is to provide a framework for classifying films according to their characteristics. Data including psychological factors are collected from Web sites using the web crawling. A clustering analysis is conducted to classify films and a series of one-way ANOVA analysis are conducted to statistically verify the differences of characteristics among groups. The result of the cluster analysis based on the review and revenues shows that the films can be categorized into four distinct groups and the differences of characteristics are statistically significant. The first group is high sales of the box office and the number of clicks on reviews is higher than other groups. The characteristic of the second group is similar with the 1st group, while the length of review is longer and the box office sales are not good. The third group's audiences prefer to documentaries and animations and the number of comments and interests are significantly lower than other groups. The last group prefer to criminal, thriller and suspense genre. Correspondence analysis is also conducted to match the groups and intrinsic characteristics of films such as genre, movie rating and nation.