• The Journal of the Convergence on Culture Technology
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• v.9 no.1
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• pp.655-661
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• 2023

Big data, an important element of the 4th industrial revolution, is actively opening public data in public institutions and local governments. In the public data portal, everyone can conveniently search for data and check related data, but only those in ICT-related fields are using public data. Although data held by public institutions is open to citizens, it is difficult for anyone to easily utilize public data to develop applications. In this paper, data provided in open API format from public data portals has XML and JSON formats. In this study, we are a method of modularizing public data in XML format into a part that can be easily developed by linking it to a GUI interface. Based on the necessary public data, we propose a way to easily develop mobile programs and promote the use of public data.

• The Journal of the Korea Contents Association
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• v.18 no.1
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• pp.305-313
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• 2018

Public open data is a database or electronic file produced by a public agency or government. The government is opening public data through the open data portals and individual agency websites. However, it is a reality that there is a limit to search and utilize desired public data from the perspective of data users. In particular, it takes a great deal of effort and time to understand the characteristics of data sets and to combine different data sets. This study suggests the possibility of interlinking between data sets by analyzing the common relationship of item names held by public data. The data sets are collected from the open data portal, and item names included in the data sets are extracted. The extracted item names consist of formal context and formal concept through formal concept analysis. The format concept has a list of data sets and a set of item name as extent and intent, respectively, and analyzes the common items of intent end to determine the possibility of data connection. The results derived from the formal concept analysis can be effectively applied to the semantic connection of the public data, and can be applied to data standard and quality improvement for public data release.

• The Journal of Bigdata
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• v.6 no.2
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• pp.1-15
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• 2021

The unprecedented pandemic of infectious diseases called COVID-19 has dampened human and material movement, and changes in the global economic structure have caused various economic and industrial problems such as worsening employment along with the domestic and international economic recession. In this crisis situation, the government announced the "New Deal" as a new card to enhance economic vitality following the "emergency disaster support fund." This means that the first business of the Digital New Deal, the beginning and core of the New Deal, begins digital transformation from collecting data, which is the "rice" of digital transformation to the data dam. Until now, not only the government but also local governments have established and operated platforms for collecting and sharing public data by establishing various data portals. It is evaluated that it lacks utilization for commercialization as not only the government but also local governments focus only on building the platform without considering the business model when building the initial public data platforms. In particular, in the case of regions, there is a lack of public data to be used for data business, so it is necessary to utilize data from public institutions in the region. In this study, various data collection, data quality improvement, and data utilization improvement were suggested as measures to solve these problems.

• Proceedings of the Korean Society for Information Management Conference
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• 2016.08a
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• pp.77-80
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• 2016

국내의 공공기관들은 정부 3.0 정책에 의해 다양한 분야의 데이터를 민간에 개방하고 있다. 본 연구는 국내외의 주요 데이터 개방 사이트를 중심으로 도서관 분야 데이터 개방현황을 살펴보았다. 조사대상 사이트는 서울 열린데이터 광장, 공공데이터 포털, Data.gov 이다. 이 사이트들에서 나타난 문제점을 중심으로 오픈 데이터의 활용성 제고를 위한 개선방안을 제안하였다.

• The Journal of Bigdata
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• v.1 no.1
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• pp.53-60
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• 2016

Data of central government and local government was collected automatically from the public data portal. And we did the multidimensional analysis based on various perspective like file format and present condition of public data. To complete this work, we constructed Data Warehouse based on the other countries' evaluation index case. Finally, the result from service level evaluation by using multidimensional analysis was used to display each area, establishment, fields.

• Informatization Policy
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• v.27 no.4
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• pp.24-46
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• 2020

This study proposes a way to timely forecast open government data (OGD) demand(i.e., OGD requests, search queries, etc.) by using keyword network analysis. According to the analysis results, most of the OGD belonging to the high-demand topics are provided by the domestic OGD portal(data.go.kr), while the OGD related to users' actual needs predicted through topic association analysis are rarely provided. This is because, when providing(or selecting) OGD, relevance to OGD topics takes precedence over relevance to users' OGD requests. The proposed keyword network analysis framework is expected to contribute to the establishment of OGD policies for public institutions in the future as it can quickly and easily forecast users' demand based on actual OGD requests.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.11-12
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• 2023

본 논문에서는 상점 내 캡티브 포털을 활용하여 수집된 주문 정보 데이터를 바탕으로 사용자가 선호하는 메뉴를 추천하는 시스템을 제안한다. 이 시스템은 식품 관련 공공 데이터셋으로 학습된 단어 임베딩 모델(Word Embedding Model)로 메뉴명을 벡터화하여 그와 유사한 벡터를 가지는 메뉴를 추천한다. 이 기법은 캡티브 포털에서 수집되는 데이터 특성상 사용자의 개인정보가 비식별화 되고 선택 항목에 대한 정보도 제한되므로 기존의 단어 임베딩 모델을 추천 시스템에 적용하는 경우에 비해 유리하다. 본 논문에서는 실제 동일한 시스템을 사용하는 상점들의 구매 기록 데이터를 활용한 검증 데이터를 확보하여 제안된 추천 시스템이 Precision@k(k=3) 구매 예측에 유의미함을 보인다.

• Journal of Cadastre & Land InformatiX
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• v.49 no.2
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• pp.93-107
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• 2019

The open data portal collects data created by public institutions and opens and shares them according to related laws. With the activation of the Fourth Industrial Revolution, all sectors of our society are demanding high quality data, but the data required by the industry has not been greatly utilized due to the lack of quantity and quality. Numerous data collected in the real world can be implemented in cyber physical systems to simulate real-world problems, and alternatives to various social issues can be found. There is a limit to being provided. Location intelligence is a technology that enables existing data to be represented in space, enabling new value creation through convergence. In this study, to present location intelligence of open data, we surveyed the status of location information by data in open data portal. As a result, about 60% of the surveyed data had location information and the representative type was address. Appeared. Therefore, by suggesting location intelligence of open data based on address and how to use it, this study aimed to suggest a way that open data can play a role in creating future social data-based industry and policy establishment.

• Journal of Cadastre & Land InformatiX
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• v.53 no.2
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• pp.107-122
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• 2023

The demand for spatial information in the era of the 4th Industrial Revolution is expanding Additionally, interest in attribute data related to geography or location is increasing. In the field of spatial information, spatial information policies and services tailored to the public can be provided through linkage and integration with new attribute data, and these data are resources for this purpose. In order to meet this expanding and diverse demand for spatial information utilization, it is necessary to develop technologies for linking and utilizing various attribute information such as public data. In this study, we aim to present a technology development strategy for linking and integrating attribute data and spatial information through a review of theories related to data linkage and integration, the current status of data on public data portals, and existing prior research. As a result, it was suggested that the data identifier of the attribute data to be linked should be used to develop linkage technology between spatial information and attribute data, and an attribute data linkage process that can be used when designing a prototype for technology development was presented.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.28 no.4
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• pp.35-55
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• 2017

The Master Data is constructed for the wide use within the institution, and it is mainly used in the enterprise. In this research, we have conducted research for the purpose of building master data on infrastructure that can be used by public institutions in the country. To do this, we analyzed individual attributes of the standard data set provided by the public data portal. Among these, we extracted standard elements that match the characteristics of the Master Data. Finally, the standardized elements are verified through the standardization system that is utilized in the country.