• Title/Summary/Keyword: 공공 빅데이터

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빅데이터 기반 대용량 시맨틱 웹 검색 기술 동향

  • Yun, Seok-Chan;Nam, Gung-Hyeon;Yang, Seong-Gwon;Kim, Hong-Gi
    • Information and Communications Magazine
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    • v.29 no.11
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    • pp.24-29
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    • 2012
  • 시맨틱 웹 기술은 웹의 초창기부터 다양한 연구와 표준이 개발되었지만 이를 활용한 데이터 서비스 분야는 그 역사에 비해 성공 사례가 부족한 것이 현실이다. 최근 웹 2.0을 시초로 링크드 데이터의 성장, 정부의 개방형 데이터 서비스, 소셜 웹 서비스의 등장으로 인해 웹의 구조적 데이터는 폭발적으로 성장해 왔으며, 대용량 시맨틱 웹 기반 서비스에 대한 요구와 연구가 진행되고 있다. 본 고에서는 킬러 애플리케이션으로서 기존 시맨틱 웹 기반 검색 기술의 문제점들을 알아보고 이를 해결하기 위해 최근 화두로 떠오르는 빅데이터(Big Data) 기술 요소인 하둡(Hadoop) 및 NoSQL을 활용하여 대용량 시맨틱 웹 데이터를 활용한 Daum의 영화/음악/인물 기반 의미 검색 및 의학 LOD를 기반한 검색 서비스 개발 사례를 제시한다. 이를 토대로 이종 모델 데이터간 연결 및 실시간 데이터 리비전 관리 등 한계점들을 살펴보고 향후 대용량 공공 데이터 활용을 위한 방향을 모색해 본다.

Finding Industries for Big Data Usage on the Basis of AHP (AHP 기반의 빅데이터 활용을 위한 산업 탐색)

  • Lee, Sang-Won;Kim, Sung-Hyun
    • Journal of Digital Convergence
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    • v.14 no.7
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    • pp.21-27
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    • 2016
  • Big Data is gathering all the attention from every business community. Pervasive use of machine-to-machine (M2M) applications and mobile devices bring an explosion of data. By analyzing this data, the private and public sectors can benefit in the areas of cost reduction and productivity. The Korean government is actively pursuing Big Data initiatives to promote its usage. This paper aims to select industries which fit for the development of Big Data with a verification of the experts. The analytic hierarchy process (AHP) is applied to systematically derive the opinion of more than 50 professionals. Medical / welfare, transportation / warehousing, information and communications / information security, energy, the financial sector have been identified as promising industries. The results can be utilized in developing Big Data best practices thus contributing industrial development.

A management information system for beauty business based on social influencer marketing using hot topic (핫토픽을 이용한 소셜 인플루언서 마케팅 기반의 뷰티 경영정보시스템)

  • Song, Je-o;Cho, Jung-Hyun;Choi, Do-Jin;Yoo, Jae-Soo
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2018.01a
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    • pp.207-210
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    • 2018
  • 인플루언서(Influencer)란 소셜 미디어에서 유난히 많은 영향력과 파급효과를 가지고 오는 사람들을 말하며, 이들이 만들어내는 콘텐츠는 이제는 자신들의 브랜딩을 넘어선 커머스(Commerce) 효과를 발휘하고 있다. 본 논문에서는 소셜 웹 그리고 공공데이터를 중심으로 뷰티 빅데이터와 방송 콘텐츠 빅데이터를 수집하고 분석하여 상호 상관성에 기반하여 화장품 관련 기업에서 CRM(Customer Relation Management), PLM(Product Lifecycle Management, SCM(Supply Chain Management System) 등의 경영정보시스템과 연계한 뷰티 분야에 최적화된 통합 경영정보시스템을 제안한다.

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Suggestions on how to convert official documents to Machine Readable (공문서의 기계가독형(Machine Readable) 전환 방법 제언)

  • Yim, Jin Hee
    • The Korean Journal of Archival Studies
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    • no.67
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    • pp.99-138
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    • 2021
  • In the era of big data, analyzing not only structured data but also unstructured data is emerging as an important task. Official documents produced by government agencies are also subject to big data analysis as large text-based unstructured data. From the perspective of internal work efficiency, knowledge management, records management, etc, it is necessary to analyze big data of public documents to derive useful implications. However, since many of the public documents currently held by public institutions are not in open format, a pre-processing process of extracting text from a bitstream is required for big data analysis. In addition, since contextual metadata is not sufficiently stored in the document file, separate efforts to secure metadata are required for high-quality analysis. In conclusion, the current official documents have a low level of machine readability, so big data analysis becomes expensive.

Big Data Analytic System based on Public Data (공공 데이터 기반 빅데이터 분석 시스템)

  • Noh, Hyun-Kyung;Park, Seong-Yeon;Hwang, Seung-Yeon;Shin, Dong-Jin;Lee, Yong-Soo;Kim, Jeong-Joon;Park, Kyung-won
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.20 no.5
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    • pp.195-205
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    • 2020
  • Recently, after the 4th industrial revolution era has arrived, technological advances started to develop and these changes have led to widespread use of data. Big data is often used for the safety of citizens, including the administration, safety and security of the country. In order to enhance the efficiency of maintaining such security, it is necessary to understand the installation status of CCTVs. By comparing the installation rate of CCTVs and crime rate in the area, we should analyze and improve the status of CCTV installation status, and crime rate in each area in order to increase the efficiency of security. Therefore, in this paper, big data analytic system based on public data is developed to collect data related to crime rate such as CCTV, female population, entertainment center, etc. and to reduce crime rate through efficient management and installation of CCTV.

The Sensing Model of Disaster Issues based on Relevance to Disaster from Social Big Data (재난 관련도에 기반한 소셜 빅데이터에서의 재난이슈 탐지 모델)

  • Choi, Seon-Hwa
    • Proceedings of the Korea Information Processing Society Conference
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    • 2014.11a
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    • pp.829-832
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    • 2014
  • 최근 사람 간 소통채널인 소셜미디어는 매스미디어 중심의 정보유통의 흐름을 바꿔놓으며 기업, 공공기관 등에서 가치를 찾는 핵심자원으로 관심을 받고 있다. 재난관리도 기존의 정부중심 대응에서 벗어나 소셜미디어, 즉 소셜 빅데이터를 활용한 국민 참여형 재난관리의 필요성이 대두되고 있다. 본 논문에서는 재난관리를 위해 실시간 소셜 빅데이터를 모니터링하는 시스템인 국립재난안전연구원의 소셜 빅보드(Social Big Board)를 소개하고, 이 시스템의 재난이슈 탐지의 정확성 향상을 위해 새롭게 개발된 재난유형별 관련도에 기반한 재난이슈 탐지기법을 설명하며 실험 및 평가결과를 제시하고자 한다.

Suggestions of Big-Data Integration in Public Institutions for Supporting Start-up Businesses (창업지원을 위한 공공기관 빅데이터 통합 제언)

  • Kim, Do-Goan;Jin, Chan-Yong;Shin, Seong-Yoon
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2015.05a
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    • pp.204-206
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    • 2015
  • Nowadays, many small businesses have experienced the failure of business or hardship. In this point, specific and integrated information for startup business should be required to decrease the rate of failure and to increase the rate of success. This study is to suggest the integration and big data of various data which various public institutions have separately. For this purpose, it is to classify the data types in constructing big-data for start-up business and to suggest a model of analysis in information system for supporting startup businesses.

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A study of the vitalization strategy for public sports facility through big-data (빅데이터 분석을 활용한 기금지원 체육시설 활성화 방안)

  • Kim, Mi-ok;Ko, Jin-soo;Noh, Seung-Chul;Chung, Jae-Hoon
    • Journal of Digital Convergence
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    • v.15 no.2
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    • pp.527-535
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    • 2017
  • As interest increases in health promotion through sports, demand for public sports facilities is steadily growing. However, there is a lack of research on operation and management compared with the supply plan of public sports facility. In this context, the aim of this study is to address problems of management of public sports centers and suggest strategies for vitalizing the facilities through the big-data. The data are collected from web such as news, blog, and cafe for one year in 2015. From the big-data, We can find that the national sports centers and the open gyms showed similar users' behavior but showed different needs. Both facilities have been used as sports and leisure area and have a high percentage of visitors for other purposes such as walking, picnics, etc. However, while the national sports facilities which were used for more specialized programs, the open sports center were used as leisure space.