• 제목/요약/키워드: 지식포털

Search Result 93, Processing Time 0.028 seconds

A Method for Selective Storing and Visualization of Public Big Data Using XML Structure (XML구조를 이용한 공공 빅데이터의 선별 저장 및 시각화 방법)

  • Back, BongHyun;Ha, Il-Kyu
    • Journal of the Korea Institute of Information and Communication Engineering
    • /
    • v.21 no.12
    • /
    • pp.2305-2311
    • /
    • 2017
  • In recent years, there have been tries to open public data from various government agencies along with publicization of public information for the public interest. In other words, various kinds of electronic data generated and collected by the public institutions as a result of their work are opened in the public portal sites. However, users who use it are limited in their use of big data due to lack of understanding of data format, lack of data processing knowledge, difficulty in accessing and managing data, and lack of visualization data to understand collected and stored data. Therefore, in this study, we propose a big data collection, storing and visualization platform that can collect big data provided by various public sites using data set URL and API regardless of data format, re-process collected data using XML structure.

Pattern of Pharmacist Consultation among the Health Counseling Services via Internet Portal Sites: A Pilot Study (국내 포털사이트에서의 지식검색서비스를 이용한 약사와의 상담 패턴에 대한 시험적 연구)

  • Kim, Heejin;Park, Jun Ha;Ji, Eunhee
    • Korean Journal of Clinical Pharmacy
    • /
    • v.26 no.4
    • /
    • pp.324-329
    • /
    • 2016
  • Background: With the development of information and communication technology, there is a growing number of people looking for health information on the internet. This pilot study was performed to analyze the pattern of pharmacist consultation on the internet portal site. Methods: Questions and answers posted on the portal site "Naver Jisik-iN" from March 1st to 31th in 2016 were collected. Medications asked were categorized into prescription drugs, nonprescription drugs, sanitary aids, emergency drugs, functional health foods, and others. Medications were subcategorized into 14 according to the anatomical therapeutic chemical classification system. Questions were divided into 10 categories based on Hepler's drug-related problems. Results: Of the 955 cases, females accounted for 59.5% and inquirers from 11 to 40 years old, 89.4%. The number of prescription drugs, nonprescription drugs, sanitary aids, emergency drugs, functional health foods, and others were 428 (44.8%), 328 (34.3%), 31 (3.3%), 2 (0.2%), 122 (12.8%), and 44 (4.6%), respectively. Questions for drugs acting on alimentary tract and metabolism took up 27.4% followed by those on nervous system, 13.6% and anti-infectives for systemic use, 12.2%. Pharmacist consultation regarding drug information, drug interaction, and adverse reaction occupied 47.9%, 15.2%, and 12.3%, respectively. Conclusion: Health counseling through online is predicted to increase steadily, so pharmacists should broaden their boundaries beyond off-line pharmacies to meet social needs.

Network Analysis of Green Technology using Keyword of Green Field (녹색 분야 키워드 정보를 이용한 녹색기술 분야 네트워크 분석 (2006년 이후 녹색기술 관련 정보를 중심으로))

  • Jeong, Dae-Hyun;Kwon, Oh-Jin;Kwon, Young-Il
    • The Journal of the Korea Contents Association
    • /
    • v.12 no.11
    • /
    • pp.511-518
    • /
    • 2012
  • In this study, the trend in green technology was observed and the domain of the green technology area that will be actively studied in the future was found by establishing knowledge map in green technology area and comparing and analyzing green technology information in Korea and overseas in time series. For the purpose of this study, network analysis was conducted for the keyword of green technology information provided by green technology information portal site (www.gtnet.go.kr) operated by Korea Institute of Science and Technology Information. Network analysis was conducted using keyword, and change of study subject was found by dividing the analysis result into periods. In the result of network analysis on top 100 keywords from total English keyword, it was found that renewable energy related areas such as solar energy and biomass had high centrality. When the main keyword trend by year was studied, centrality of solar cell, nanotechnology, smart grid, and fuel cell were found to increase, showing that research and development in generation and use of renewable energy are actively made.

Construction of Ontology for River GeoSpatial Information (하천공간정보의 온톨로지 구축방안 연구)

  • Shin, Hyung Jin;Shin, Seung Hee;Hwang, Eui Ho;Chae, Hyo Sok
    • Proceedings of the Korea Water Resources Association Conference
    • /
    • 2015.05a
    • /
    • pp.627-627
    • /
    • 2015
  • 기존 물관련 시스템들은 독자적인 DB 구조를 가지고 있고 검색 서비스는 자체 시스템의 DB를 직접 접근하여 사용자에게 결과를 제시하는 형식이다. 이러한 서비스의 단점은 사용자가 개별 시스템의 서비스에 대한 지식이 없으면 접근하기 어렵다는 점이다. 개별 시스템의 개별 서비스의 개념을 벗어나기 위하여 물관련 시스템에 있는 하천공간자료 검색 정보를 카탈로그 서버에 등록하고, 카탈로그 서버에 등록된 검색정보를 사용자가 검색하는 방식을 적용하고자 한다. 카탈로그 서버에 자료에 대한 정보를 등록할 때 자료의 정보를 어떻게 기술할 것인가의 문제가 발생한다. 개별 서버마다 등록하게 된다면 용어 및 문화에 의한 차이로 같은 개념을 다른 용어로 등록하게 되는 혼란이 발생할 소지가 있다. 예를 들어 강우자료에 대하여 "강우", "Precipitation", "Railfall", "비" 등으로 등록할 소지가 있다. 이러면 실제 자료가 존재하는 데도 등록 방법에 따라 자료의 검색이 어려워진다. 이러한 상황을 제어하기 위하여 검사어휘(Controlled Vocabulary)를 도입한다. 이는 포털의 운영자가 미리 용어의 개념과 용어의 분류체계를 설정하고 등록 자료의 검색어를 미리 설정하여 자료의 원천 소유자가 자료를 등록 시 검사어휘를 참고하여 등록하거나 또는 등록되지 않는 용어의 자료인 경우 이 용어를 포탈에 신규로 등록한다. 검색용어의 난립을 피하기 위하여 사용자의 신규등록은 포탈의 운영자가 어느 정도 제어할 필요가 있다. 검사어휘의 정립과 하천 관련된 분류체계는 하천공간정보 검색의 포탈을 위한 필수사항이다. 검사어휘의 정립의 주된 목적은 이질성의 극복이다. 이질성의 종류는 문법적 이질성, 데이터 형식과 구조 및 문맥적 이질성이 있다. 이 중에서 문맥적 이질성이 가장 넓고 어려운 문제이다. 단위는 분야마다 호칭이 다르고 채택하는 기준마다 다르다. 유사어는 전문용어라도 분야마다 다르다. 우리나라에서 서비스 인코딩시 국어와 영어를 어떻게 처리할 지에 대한 대책도 필요하다. 수문학의 시계열 자료를 다루는 CUAHSI/HIS의 온톨로지는 대 개념으로 물리학적, 화학적 및 생물학적인 분야로 분류하고 있다. 하천공간정보의 온톨로지 구축을 위해 데이터 분석 및 분류, 온톨로지 요소 설정, 온톨로지 데이터 테이블 작성, 클래스 생성 및 계층화, 클래스 계층화에 따른 속성 설정, 클래스에 적합한 개체 삽입, 논리 관계 확인 및 수정과 같은 과정으로 온톨로지 개발을 진행하고자 한다.

  • PDF

A Study on the Presidential Digital Archive Platform (대통령기록디지털아카이브 플랫폼 연구)

  • Kim, Seoyeon;Im, Seolhwa;Kim, Gyuseok;Song, Minji;Wi, Sooa;Yang, InHo
    • The Korean Journal of Archival Studies
    • /
    • no.76
    • /
    • pp.61-117
    • /
    • 2023
  • This study raises the need to establish a 'Presidential Digital Archive Platform' that actively shares and opens related information and data by linking and integrating the presidential knowledge infrastructure. The Presidential Digital Archive Platform can promote the quality and value of presidential records as a "Governance Platform" where "Presidential Archives", "Presidential Archives-related Institutions" and "users" can interact through presidential records. And it will provide an opportunity to create a new paradigm. For this purpose, 'Presidential archives portal analysis' and 'Presidential Archives-related Institutions analysis' will be conducted to identify improvements and requirements when establishing the Presidential Digital Archive Platform. In addition to deriving implications through 'Digital Archive Platform case analysis' at home and abroad, measures to strengthen presidential archival reference services were discussed. Finally, based on the results, a step-by-step implementation strategy for platform construction was presented.

Study on Soil Moisture Predictability using Machine Learning Technique (머신러닝 기법을 활용한 토양수분 예측 가능성 연구)

  • Jo, Bongjun;Choi, Wanmin;Kim, Youngdae;kim, Kisung;Kim, Jonggun
    • Proceedings of the Korea Water Resources Association Conference
    • /
    • 2020.06a
    • /
    • pp.248-248
    • /
    • 2020
  • 토양수분은 증발산, 유출, 침투 등 물수지 요소들과 밀접한 연관이 있는 주요한 변수 중에 하나이다. 토양수분의 정도는 토양의 특성, 토지이용 형태, 기상 상태 등에 따라 공간적으로 상이하며, 특히 기상 상태에 따라 시간적 변동성을 보이고 있다. 기존 토양수분 측정은 토양시료 채취를 통한 실내 실험 측정과 측정 장비를 통한 현장 조사 방법이 있으나 시간적, 경제적 한계점이 있으며, 원격탐사 기법은 공간적으로 넓은 범위를 포함하지만 시간 해상도가 낮은 단점이 있다. 또한, 모델링을 통한 토양수분 예측 기술은 전문적인 지식이 요구되며, 복잡한 입력자료의 구축이 요구된다. 최근 머신러닝 기법은 수많은 자료 학습을 통해 사용자가 원하는 출력값을 도출하는데 널리 활용되고 있다. 이에 본 연구에서는 토양수분과 연관된 다양한 기상 인자들(강수량, 풍속, 습도 등)을 활용하여 머신러닝기법의 반복학습을 통한 토양수분의 예측 가능성을 분석하고자 한다. 이를 위해 시공간적으로 토양수분 실측 자료가 잘 구축되어 있는 청미천과 설마천 유역을 대상으로 머신러닝 기법을 적용하였다. 두 대상지에서 2008년~2012년 수문자료를 확보하였으며, 기상자료는 기상자료개방포털과 WAMIS를 통해 자료를 확보하였다. 토양수분 자료와 기상자료를 머신러닝 알고리즘을 통해 학습하고 2012년 기상 자료를 바탕으로 토양수분을 예측하였다. 사용되는 머신러닝 기법은 의사결정 나무(Decision Tree), 신경망(Multi Layer Perceptron, MLP), K-최근접 이웃(K-Nearest Neighbors, KNN), 서포트 벡터 머신(Support Vector Machine, SVM), 랜덤 포레스트(Random Forest), 그래디언트 부스팅 (Gradient Boosting)이다. 토양수분과 기상인자 간의 상관관계를 분석하기 위해 히트맵(Heat Map)을 이용하였다. 히트맵 분석 결과 토양수분의 시간적 변동은 다양한 기상 자료 중 강수량과 상대습도가 가장 큰 영향력을 보여주었다. 또한 다양한 기상 인자 기반 머신러닝 기법 적용 결과에서는 두 지역 모두 신경망(MLP) 기법을 제외한 모든 기법이 전반적으로 실측값과 유사한 형태를 보였으며 비교 그래프에서도 실측값과 예측 값이 유사한 추세를 나타냈다. 따라서 상관관계있는 과거 기상자료를 통해 머신러닝 기법 기반 토양수분의 시간적 변동 예측이 가능할 것으로 판단된다.

  • PDF

Improving Government Website Chatbot UX Based on User Journey Map: A Focus on NTIS Chatbot ND (사용자 여정 지도를 기준으로 정부 웹사이트 챗봇 UX 개선: NTIS의 챗봇 ND 를 중심으로)

  • Haeyoon Lee;Inyoung Park
    • The Journal of the Convergence on Culture Technology
    • /
    • v.10 no.4
    • /
    • pp.601-606
    • /
    • 2024
  • Today, governments are evolving into digital governments that actively leverage digital technologies to promote national development. Government websites play a crucial role as key elements in reshaping the interaction between individuals and the government. Within this context, government website chatbots play an important role in facilitating citizens' easy access to information. However, the chatbot ND on the National R&D Knowledge Information Portal (NTIS) exhibits low usage rates. This study proposes a framework based on user journey mapping to address the usability issues of chatbot ND. By delineating the user journey into pre-usage, in-usage, and post-usage stages, the study aims to identify points of inconvenience experienced by users at each stage and provide enhanced user experiences.

A Study of the Effectiveness and Status of the Information Security Disclosure System (정보보호 공시제도의 운영실태와 효과성 분석)

  • Baek, Seung Jun;Lee, Hong Joo
    • Knowledge Management Research
    • /
    • v.22 no.1
    • /
    • pp.309-330
    • /
    • 2021
  • The information security disclosure system (ISDS) has been implemented since 2016 to ensure the protection of stakeholders and the right to know, and to promote voluntary investment in information protection by companies. Regarding the information security disclosure system, there have been studies that urge the implementation of the system, but studies that analyze the contents disclosed after the implementation of the system or suggest improvement directions are few. In this study, the contents of the information security disclosure system that had been announced on the information security industry promotion portal until 2019 were analyzed, the current status was summarized, and the direction of system improvement was suggested. In some cases, companies that disclosed information through the disclosure system increased the number of personnel in charge and obtained certifications related to information security, but did not find any effect on the increase/decrease in investment. The current disclosure system has not been activated because it has difficulty in giving individual companies incentives to disclose. Thus, this study suggests the inclusion of ISDS to information security management system (ISMS), which is currently mandatory for certain companies. In the current disclosure system, it is difficult for the company's stakeholders or customers to check the contents of the disclosure. As a way to do this, a method of including in the contents of the personal information processing policy or the notification of the use of personal information was suggested.

Design of Knowledge-based Spatial Querying System Using Labeled Property Graph and GraphQL (속성 그래프 및 GraphQL을 활용한 지식기반 공간 쿼리 시스템 설계)

  • Jang, Hanme;Kim, Dong Hyeon;Yu, Kiyun
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
    • /
    • v.40 no.5
    • /
    • pp.429-437
    • /
    • 2022
  • Recently, the demand for a QA (Question Answering) system for human-machine communication has increased. Among the QA systems, a closed domain QA system that can handle spatial-related questions is called GeoQA. In this study, a new type of graph database, LPG (Labeled Property Graph) was used to overcome the limitations of the RDF (Resource Description Framework) based database, which was mainly used in the GeoQA field. In addition, GraphQL (Graph Query Language), an API-type query language, is introduced to address the fact that the LPG query language is not standardized and the GeoQA system may depend on specific products. In this study, database was built so that answers could be retrieved when spatial-related questions were entered. Each data was obtained from the national spatial information portal and local data open service. The spatial relationships between each spatial objects were calculated in advance and stored in edge form. The user's questions were first converted to GraphQL through FOL (First Order Logic) format and delivered to the database through the GraphQL server. The LPG used in the experiment is Neo4j, the graph database that currently has the highest market share, and some of the built-in functions and QGIS were used for spatial calculations. As a result of building the system, it was confirmed that the user's question could be transformed, processed through the Apollo GraphQL server, and an appropriate answer could be obtained from the database.

An Analysis of Web Services in the Legal Works of the Metropolitan Representative Library (광역대표도서관 법정업무의 웹서비스 분석)

  • Seon-Kyung Oh
    • Journal of the Korean Society for Library and Information Science
    • /
    • v.58 no.2
    • /
    • pp.177-198
    • /
    • 2024
  • Article 22(1) of the Library Act, which was completely revised in December 2006, stipulated that regional representative libraries are statutory organizations, and Article 25(1) of the Library Act, which was revised again in late 2021, renamed them as metropolitan representative libraries and expanded their duties. The reason why cities and provinces are required to specify or establish and operate metropolitan representative libraries is that in addition to their role as public libraries for public information use, cultural activities, and lifelong learning as stipulated in Article 23 of the Act, they are also responsible for the legal works of metropolitan representative libraries as stipulated in Article 26, and lead the development of libraries and knowledge culture by serving as policy libraries, comprehensive knowledge information centers, support and cooperation centers, research centers, and joint preservation libraries for all public libraries in the city or province. Therefore, it is necessary to analyze and diagnose whether the metropolitan representative library has been faithfully fulfilling its legal works for the past 15 years(2009-2023), and whether it is properly providing the results of its statutory planning and implementation on its website to meet the digital and mobile era. Therefore, this study investigated and analyzed the performance of the metropolitan representative library for the last two years based on the current statutory tasks and evaluated the extent to which it provides them through its website, and suggested complementary measures to strengthen its web services. As a result, it was analyzed that the web services for legal works that the metropolitan representative library should perform are quite insufficient and inadequate, so it suggested complementary measures such as building a website for legal works on the homepage, enhancing accessibility and visibility through providing an independent website, providing various policy information and web services (portal search, inter-library loan, one-to-one consultation, joint DB construction, data transfer and preservation, etc.), and ensuring digital accessibility of knowledge information for the vulnerable.