• Title/Summary/Keyword: knowledge and information resource system

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Big Data based Tourist Attractions Recommendation - Focus on Korean Tourism Organization Linked Open Data - (빅데이터 기반 관광지 추천 시스템 구현 - 한국관광공사 LOD를 중심으로 -)

  • Ahn, Jinhyun;Kim, Eung-Hee;Kim, Hong-Gee
    • Management & Information Systems Review
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    • v.36 no.4
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    • pp.129-148
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    • 2017
  • Conventional exhibition management information systems recommend tourist attractions that are close to the place in which an exhibition is held. Some recommended attractions by the location-based recommendation could be meaningless when nothing is related to the exhibition's topic. Our goal is to recommend attractions that are related to the content presented in the exhibition, which can be coined as content-based recommendation. Even though human exhibition curators can do this, the quality is limited to their manual task and knowledge. We propose an automatic way of discovering attractions relevant to an exhibition of interests. Language resources are incorporated to discover attractions that are more meaningful. Because a typical single machine is unable to deal with such large-scale language resources efficiently, we implemented the algorithm on top of Apache Spark, which is a well-known distributed computing framework. As a user interface prototype, a web-based system is implemented that provides users with a list of relevant attractions when users are browsing exhibition information, available at http://bike.snu.ac.kr/WARP. We carried out a case study based on Korean Tourism Organization Linked Open Data with Korean Wikipedia as a language resource. Experimental results are demonstrated to show the efficiency and effectiveness of the proposed system. The effectiveness was evaluated against well-known exhibitions. It is expected that the proposed approach will contribute to the development of both exhibition and tourist industries by motivating exhibition visitors to become active tourists.

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A Study on the Telecommunication Standardization Legal System in Korea (국내 정보통신 표준화 법체계 연구)

  • Sohn, Hong;Kim, Young-Tae;Kang, Boo-Mi
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2000.10a
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    • pp.74-80
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    • 2000
  • In Korea we didn't have fundamental legal system on telecommunication until 'Communication Act'(Act No. 923) of Dec. 1961. After then, with rapid advances of technology and increases of request to telecommunication services in the field of telecommunication, circumstances around the telecommunication market have been changed. The market has been enlarged and slowed. Regulating of that field has been diverse and complex, Specially, as WTO went into effect, it's been recognized that standardization is more important for correspond to openness and liberalization in the field of telecommunication. In our country, national industry standardization began with 'Industry Standard Act of 1961', but it put mainly importance in manufacturing standard or industry standard till 1980's. Telecommunication standardization began to be active as TTA was set up in 1989. Now regulating rules to telecommunication standard are including 'the Fundamental Act of Information Promotion', 'Telecommunication Act', 'Act relating to Telecommunication Network Use Promotion, etc:, 'Software Industry Advancement Act','Knowledge Information Resource Act'. In this paper, we will survey regulating rules to telecommunication standard and Produce the future proposal to that.

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Design and Implementation of Library Information System Using Collective Intelligence and Cloud Computing (집단지성과 클라우드 컴퓨팅을 활용한 도서관 정보시스템 설계 및 구현)

  • Min, Byoung-Won
    • The Journal of the Korea Contents Association
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    • v.11 no.11
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    • pp.49-61
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    • 2011
  • In recent, library is considered as an integrated knowledge convergence center that can respond to various requests about information service of users. Therefor it is necessary to establish a novel information system based on information communications technologies of the era. In other words, it is currently required to develop mobile information service available in portable devices such as smart phones or tablet PCs, and to establish information system reflecting cloud computing, SaaS, Annotation, and Library 2.0 etc. In this paper we design and implement a library information system using collective intelligence and cloud computing. This information system can be adapted for the varieties of mobile service paradigm and abruptly increasing amount of electronic materials. Advantages of this concept model are resource sharing, multi-tenant supporting, configuration, and meta-data supporting etc. In addition it can offer software on-demand type user services. In order to test the performance of our system, we perform an effectiveness analysis and TTA authentication test. The average response time corresponding to variance of data reveals 0.692 seconds which is very good performance in timing effectiveness point of view. And we detect maturity level-3 or 4 authentication in TTA tests such as SaaS maturity, performance, and application programs.

An Automated Code Generation for Both Improving Performance and Detecting Error in Self-Adaptive Modules (자가 적응 모듈의 성능 개선과 오류 탐지를 위한 코드 자동 생성 기법)

  • Lee, Joon-Hoon;Park, Jeong-Min;Lee, Eun-Seok
    • Journal of KIISE:Software and Applications
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    • v.35 no.9
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    • pp.538-546
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    • 2008
  • It has limits that system administrator deals with many problems occurred in systems because computing environments are increasingly complex. It is issued that systems have an ability to recognize system's situations and adapt them by itself in order to resolve these limits. But it requires much experiences and knowledge to build the Self-Adaptive System. The difficulty that builds the Self-Adaptive System has been problems. This paper proposes a technique that generates automatically the codes of the Self-Adaptive System in order to make the system to be built more easily. This Self-Adaptive System resolves partially the problems about ineffectiveness of the exceeded usage of the system resource that was previous research's problem and incorrect operation that is occurred by external factors such as virus. In this paper, we applied the proposed approach to the file transfer module that is in the video conferencing system in order to evaluate it. We compared the length of the codes, the number of Classes that are created by the developers, and development time. We have confirmed this approach to have the effectiveness.

Understanding and Designing Teachable Agent (교수가능 에이전트(Teachable Agent)의 개념적 이해와 설계방안)

  • 김성일;김원식;윤미선;소연희;권은주;최정선;김문숙;이명진;박태진
    • Korean Journal of Cognitive Science
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    • v.14 no.3
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    • pp.13-21
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    • 2003
  • This study presents a design of Teachable Agent(TA) and its theoretical background. TA is an intelligent agent to which students as tutors teach, pose questions, and provide feedbacks using a concept map. TA consists of four independent Modules, Teach Module, Q&A Module, Test Module, and Resource Module. In Teach Module, students teach TA by constructing concept map. In Q&A Module, both students and TA ask questions and answer questions each other through an interactive window. To assess TA's knowledge and provide feedback to students, Test Module consists of a set of predetermined questions which TA should pass. From Resource Module, students can search and look up important information to teach, ask questions, and provide feedbacks whenever they want. It is expected that TA should provide student tutors with an active role in learning and positive attitude toward the subject matter by enhancing their cognition as well as motivation.

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Design and Implementation of RDF Storage and RDQL Query Processor (RDF 문서의 저장소와 RDQL 질의 처리기의 설계 및 구현)

  • Jeong Ho-Young;Kim Jung-Min;Jung Jun-Won;Kim Jong-Nam;Yim Dong-Hyuk;Kim Hyoung-Joo
    • Journal of KIISE:Databases
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    • v.33 no.4
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    • pp.363-371
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    • 2006
  • In spite of computer's development, the present state of a lot of electronic documents overflowed it's going to be more difficult to get appropriate information. Therefore it's more important to get meaningful information than to focus on the speed of processing. Semantic web enables and intelligent processing by adding semantic meta data on your web documents. Also as the semantic web grows, the knowledge resource is more important. In this paper, we propose a RDF storage system using relational database model aimed at intelligent processing by adding semantic meta data on your web documents, also a query processor aimed at query processing through the storage system. By using relational model, we could overcome a weakness of object or memory model.

Discovering Temporal Work Transference Networks from Workflow Execution Logs

  • Pham, Dinh-Lam;Ahn, Hyun;Kim, Kwanghoon Pio
    • Journal of Internet Computing and Services
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    • v.20 no.2
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    • pp.101-108
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    • 2019
  • Workflow management systems (WfMSs) automate and manage workflows, which are implementations of organizational processes operated in process-centric organizations. In this paper, wepropose an algorithm to discover temporal work transference networks from workflow execution logs. The temporal work transference network is a special type of enterprise social networks that consists of workflow performers, and relationships among them that are formed by work transferences between performers who are responsible in performing precedent and succeeding activities in a workflow process. In terms of analysis, the temporal work transference network is an analytical property that has significant value to be analyzed to discover organizational knowledge for human resource management and related decision-making steps for process-centric organizations. Also, the beginning point of implementinga human-centered workflow intelligence framework dealing with work transference networks is to develop an algorithm for discovering temporal work transference cases on workflow execution logs. To this end, we first formalize a concept of temporal work transference network, and next, we present a discovery algorithm which is for the construction of temporal work transference network from workflow execution logs. Then, as a verification of the proposed algorithm, we apply the algorithm to an XES-formatted log dataset that was released by the process mining research group and finally summarize the discovery result.

A Study on Continuous Monitoring Reinforcement for Sales Audit Using Process Mining Under Big Data Environment (빅데이터 환경에서 프로세스 마이닝을 이용한 영업감사 상시 모니터링 강화에 대한 연구)

  • Yoo, Young-Seok;Park, Han-Gyu;Back, Seung-Hoon;Hong, Sung-Chan
    • Journal of Internet Computing and Services
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    • v.17 no.6
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    • pp.123-131
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    • 2016
  • Process mining in big data environment utilize a number of data were generated from the business process. It generates lots of knowledge and insights regarding implementation and improvement of the process through the event log of the company's enterprise resource planning (ERP) system. In recent years, various research activities engaged with the audit work of company organizations are trying actively by using the maximum strength of the mining process. However, domestic studies on applicable sales auditing system for the process mining are insufficient under big data environment. Therefore, we propose process-mining methods that can be optimally applied to online and traditional auditing system. In advance, we propose continuous monitoring information system that can early detect and prevent the risk under the big data environment by monitoring risk factors in the organizations of enterprise. The scope of the research of this paper is to design a pre-verification system for risk factor via practical examples in sales auditing. Furthermore, realizations of preventive audit, continuous monitoring for high risk, reduction of fraud, and timely action for violation of rules are enhanced by proposed sales auditing system. According to the simulation results, avoidance of financial risks, reduction of audit period, and improvement of audit quality are represented.

Efficient Change Detection between RDF Models Using Backward Chaining Strategy (후방향 전진 추론을 이용한 RDF 모델의 효율적인 변경 탐지)

  • Im, Dong-Hyuk;Kim, Hyoung-Joo
    • Journal of KIISE:Computing Practices and Letters
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    • v.15 no.2
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    • pp.125-133
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    • 2009
  • RDF is widely used as the ontology language for representing metadata on the semantic web. Since ontology models the real-world, ontology changes overtime. Thus, it is very important to detect and analyze changes in knowledge base system. Earlier studies on detecting changes between RDF models focused on the structural differences. Some techniques which reduce the size of the delta by considering the RDFS entailment rules have been introduced. However, inferencing with RDF models increases data size and upload time. In this paper, we propose a new change detection using RDF reasoning that only computes a small part of the implied triples using backward chaining strategy. We show that our approach efficiently detects changes through experiments with real-life RDF datasets.

A Study on the Human Library: The Case of Human Library in Seongbuk-Gu, Seoul (휴먼라이브러리에 관한 연구- 서울시 성북구의 휴먼라이브러리를 중심으로 -)

  • Cho, Chan-Sik
    • Journal of the Korean BIBLIA Society for library and Information Science
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    • v.25 no.3
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    • pp.9-28
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    • 2014
  • As a new library system, the 'human library', in which a man becomes an information resource, provides a library service through face-to-face communication in delivering knowledge and information to users. Since the human library exchanges information with 'human books', it shows some characteristics that are different from traditional library services and connotes some meanings as a new library service. In that, this study focuses on the human library of Seongbuk-Gu, Seoul. Specifically, in order to enhance our understanding of the human library, this study looks into the theoretical underpinnings and the background of human library in Seongbuk-Gu, examines the case of the human library in Seongbuk-Gu, analyzes the factors that influence the human library, and makes some suggestions for improvement.