scholarly journals Linked Method of Open Government Data by Datasets Oriented

2021 ◽  
Vol 12 (6) ◽  
pp. 780-785
Author(s):  
Yun-Young Hwang Et.al
Keyword(s):  
Spatial Information ◽  
Data Sets ◽  
Data Set ◽  
Related Field ◽  
Standard Field ◽  
Open Government Data ◽  
Public Data ◽  
Cooperation Rate ◽  
Government Data ◽  
Public Datasets

In order to make public data more useful, it is necessary to provide relevant data sets that meet the needs of users. We introduce the method of linkage between datasets. We provide a method for deriving linkages between fields of structured datasets provided by public data portals. We defined a dataset and connectivity between datasets. The connectivity between them is based on the metadata of the dataset and the linkage between the actual data field names and values. We constructed the standard field names. Based on this standard, we established the relationship between the datasets. This paper covers 31,692 structured datasets (as of May 31, 2020) among the public data portal datasets. We extracted 1,185,846 field names from over 30,000 datasets. We extracted 1,185,846 field names from over 30,000 datasets. As a result of analyzing the field names, the field names related to spatial information were the most common at 35%. This paper verified the method of deriving the relation between data sets, focusing on the field names classified as spatial information. For this reason, we have defined spatial standard field names. To derive similar field names, we extracted related field names into spaces such as locations, coordinates, addresses, and zip codes used in public datasets. The standard field name of spatial information was designed and derived 43% cooperation rate of 31,692 datasets. In the future, we plan to apply similar field names additionally to improve the data set cooperation rate of the spatial information standard.

Providing Information from Brazilian Politicians Using Linked Data

2015 ◽  
pp. 939-953
Author(s):  
Jairo Francisco de Souza ◽  
Sean Wolfgand Matsui Siqueira ◽  
Lucas de Ramos Araújo ◽  
Rubens Nascimento Melo
Keyword(s):  
Linked Data ◽  
Open Government ◽  
Global Communication ◽  
Data Set ◽  
Data Practices ◽  
Open Government Data ◽  
Public Data ◽  
Government Data ◽  
Different Sources ◽  
The Web

Since its inception, the Web has undergone continuous evolution in order to improve itself as a means of global communication and information sharing. Open Government Data are increasingly being published on the Web, contributing to the transparency and the reusability of public data. At the same time, the use of Linked Data has been increasing in recent years, enabling the development of better and smarter applications. This chapter presents a case on the publication of Open Government Data using the Linked Data practices, by creating a data set of Brazilian politicians with information collected from different sources. This is the first dataset providing Brazilian linked data.

Providing Information from Brazilian Politicians Using Linked Data

2013 ◽  
pp. 39-57 ◽  
Author(s):  
Jairo Francisco de Souza ◽  
Sean Wolfgand M. Siqueira ◽  
Lucas de Ramos Araújo ◽  
Rubens Nascimento Melo
Keyword(s):  
Linked Data ◽  
Open Government ◽  
Global Communication ◽  
Data Set ◽  
Data Practices ◽  
Open Government Data ◽  
Public Data ◽  
Government Data ◽  
Different Sources ◽  
The Web

Since its inception, the Web has undergone continuous evolution in order to improve itself as a means of global communication and information sharing. Open Government Data are increasingly being published on the Web, contributing to the transparency and the reusability of public data. At the same time, the use of Linked Data has been increasing in recent years, enabling the development of better and smarter applications. This chapter presents a case on the publication of Open Government Data using the Linked Data practices, by creating a data set of Brazilian politicians with information collected from different sources. This is the first dataset providing Brazilian linked data.

Drivers and barriers to re-use Open Government Data (OGD): a case study of open data initiative in Philippines

2018 ◽  
Vol 20 (4) ◽  
pp. 358-368 ◽  
Author(s):  
Stuti Saxena
Keyword(s):  
Developed Countries ◽  
The Philippines ◽  
Open Government ◽  
Research Approach ◽  
Data Sets ◽  
Data Set ◽  
Content Type ◽  
Open Government Data ◽  
Government Data ◽  
User Friendly

Purpose Given that the Open Government Data (OGD) initiatives of any country are founded on principles of transparency and accountability, it is important that the data sets permit a user-friendly interface for the data sets to be re-used. This paper aims to underline the major drivers and barriers to re-use the data sets in the context of the Philippines. Design/methodology/approach In line with the model proposed by Sieber and Johnson (2015), the paper invoked an investigation of the national OGD portal of the Philippines following a documentary analysis research approach. Findings The OGD portal of the Philippines permits data search and sharing via social media. Data sets are available in user-friendly formats with a detailed description of the data set itself in the form of metadata. At the same time, the OGD portal of the Philippines has many barriers to re-use. Data sets are not current, and no attempts have been made at updating the records. While the provision of data mapping is provided, the same is not effective as of now. Conducting statistical analysis is not possible online and some of the links are not active. Finally, users’ suggestions are acknowledged, but the contribution of users toward the existing data sets is not permitted as of now. Research limitations/implications Given that only a single country’s OGD initiative has been investigated in the study, further research is warranted to undertake a comparative analysis of OGD institutionalization across different countries. Practical implications Government authorities are encouraged to be more proactive in furthering the OGD initiative. Policymakers and practitioners may appreciate the underlying barriers in re-using the data sets and seek to address these concerns. Originality/value The OGD initiative of the Philippines has not been investigated so far despite the rising tide of the OGD initiatives across the globe. Given that most of the research on OGD is focused in developed countries, the present study seeks to contribute toward the extant literature by investigating the OGD portal of the Philippines and underlining the major drivers and barriers in re-using the data sets available via the portal.

Open Judicial Data: A Comparative Analysis

2018 ◽  
Vol 38 (3) ◽  
pp. 295-314 ◽  
Author(s):  
Marko Marković ◽  
Stevan Gostojić
Keyword(s):  
Open Data ◽  
Data Sets ◽  
Data Set ◽  
Legal Documents ◽  
Open Government Data ◽  
Efficiency And Effectiveness ◽  
Government Data ◽  
Machine Readable ◽  
Readable Format ◽  
Machine Readable Format

Open data gained considerable traction in government, nonprofit, and profit organizations in the last several years. Open judicial data increase transparency of the judiciary and are an integral part of open justice. This article identifies relevant judicial data set types, reviews widely used open government data evaluation methodologies, selects a methodology for evaluating judicial data sets, uses the methodology to evaluate openness of judicial data sets in chosen countries, and suggests actions to improve efficiency and effectiveness of open data initiatives. Our findings show that judicial data sets should at least include court decisions, case registers, filed document records, and statistical data. The Global Open Data Index methodology is the most suitable for the task. We suggest considering actions to enable more effective and efficient opening of judicial data sets, including publishing legal documents and legal data in standardized machine-readable formats, assigning standardized metadata to the published documents and data sets, providing both programmable and bulk access to documents and data, explicitly publishing licenses which apply to them in a machine-readable format, and introducing a centralized portal enabling retrieval and browsing of open data sets from a single source.

scholarly journals Smarter Open Government Data for Society 5.0: Are Your Open Data Smart Enough?

Sensors ◽  
2021 ◽  
Vol 21 (15) ◽  
pp. 5204
Author(s):  
Anastasija Nikiforova
Keyword(s):  
Industry 4.0 ◽  
Economic Value ◽  
Open Data ◽  
Digital Data ◽  
Open Government ◽  
Data Sets ◽  
Time Data ◽  
Open Government Data ◽  
Information And Communication ◽  
Government Data

Nowadays, governments launch open government data (OGD) portals that provide data that can be accessed and used by everyone for their own needs. Although the potential economic value of open (government) data is assessed in millions and billions, not all open data are reused. Moreover, the open (government) data initiative as well as users’ intent for open (government) data are changing continuously and today, in line with IoT and smart city trends, real-time data and sensor-generated data have higher interest for users. These “smarter” open (government) data are also considered to be one of the crucial drivers for the sustainable economy, and might have an impact on information and communication technology (ICT) innovation and become a creativity bridge in developing a new ecosystem in Industry 4.0 and Society 5.0. The paper inspects OGD portals of 60 countries in order to understand the correspondence of their content to the Society 5.0 expectations. The paper provides a report on how much countries provide these data, focusing on some open (government) data success facilitating factors for both the portal in general and data sets of interest in particular. The presence of “smarter” data, their level of accessibility, availability, currency and timeliness, as well as support for users, are analyzed. The list of most competitive countries by data category are provided. This makes it possible to understand which OGD portals react to users’ needs, Industry 4.0 and Society 5.0 request the opening and updating of data for their further potential reuse, which is essential in the digital data-driven world.

scholarly journals Geospatial Open Data Usage and Metadata Quality

2021 ◽  
Vol 10 (1) ◽  
pp. 30
Author(s):  
Alfonso Quarati ◽  
Monica De Martino ◽  
Sergio Rosim
Keyword(s):  
Spatial Information ◽  
Open Data ◽  
Poor Quality ◽  
Data Usage ◽  
Open Government Data ◽  
Metadata Quality ◽  
Geospatial Datasets ◽  
Government Data ◽  
Determining Factor

The Open Government Data portals (OGD), thanks to the presence of thousands of geo-referenced datasets, containing spatial information are of extreme interest for any analysis or process relating to the territory. For this to happen, users must be enabled to access these datasets and reuse them. An element often considered as hindering the full dissemination of OGD data is the quality of their metadata. Starting from an experimental investigation conducted on over 160,000 geospatial datasets belonging to six national and international OGD portals, this work has as its first objective to provide an overview of the usage of these portals measured in terms of datasets views and downloads. Furthermore, to assess the possible influence of the quality of the metadata on the use of geospatial datasets, an assessment of the metadata for each dataset was carried out, and the correlation between these two variables was measured. The results obtained showed a significant underutilization of geospatial datasets and a generally poor quality of their metadata. In addition, a weak correlation was found between the use and quality of the metadata, not such as to assert with certainty that the latter is a determining factor of the former.

Fast and accurate detection of surface defect based on improved YOLOv4

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jiawei Lian ◽  
Junhong He ◽  
Yun Niu ◽  
Tianze Wang
Keyword(s):  
Feature Extraction ◽  
Real Time ◽  
Surface Defect ◽  
Steel Ingot ◽  
Industrial Applications ◽  
Data Sets ◽  
Data Set ◽  
Processing Technologies ◽  
Content Type ◽  
Public Data

Purpose The current popular image processing technologies based on convolutional neural network have the characteristics of large computation, high storage cost and low accuracy for tiny defect detection, which is contrary to the high real-time and accuracy, limited computing resources and storage required by industrial applications. Therefore, an improved YOLOv4 named as YOLOv4-Defect is proposed aim to solve the above problems. Design/methodology/approach On the one hand, this study performs multi-dimensional compression processing on the feature extraction network of YOLOv4 to simplify the model and improve the feature extraction ability of the model through knowledge distillation. On the other hand, a prediction scale with more detailed receptive field is added to optimize the model structure, which can improve the detection performance for tiny defects. Findings The effectiveness of the method is verified by public data sets NEU-CLS and DAGM 2007, and the steel ingot data set collected in the actual industrial field. The experimental results demonstrated that the proposed YOLOv4-Defect method can greatly improve the recognition efficiency and accuracy and reduce the size and computation consumption of the model. Originality/value This paper proposed an improved YOLOv4 named as YOLOv4-Defect for the detection of surface defect, which is conducive to application in various industrial scenarios with limited storage and computing resources, and meets the requirements of high real-time and precision.

Enhancing transparency through open government data: the case of data portals and their features and capabilities

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Martin Lněnička ◽  
Renata Machova ◽  
Jolana Volejníková ◽  
Veronika Linhartová ◽  
Radka Knezackova ◽  
...  
Keyword(s):  
Open Data ◽  
Open Government ◽  
Data Sets ◽  
Web Content ◽  
Content Type ◽  
Domain Experts ◽  
Computer Mediated ◽  
Open Government Data ◽  
Decision Making Processes ◽  
Government Data

PurposeThe purpose of this paper was to draw on evidence from computer-mediated transparency and examine the argument that open government data and national data infrastructures represented by open data portals can help in enhancing transparency by providing various relevant features and capabilities for stakeholders' interactions.Design/methodology/approachThe developed methodology consisted of a two-step strategy to investigate research questions. First, a web content analysis was conducted to identify the most common features and capabilities provided by existing national open data portals. The second step involved performing the Delphi process by surveying domain experts to measure the diversity of their opinions on this topic.FindingsIdentified features and capabilities were classified into categories and ranked according to their importance. By formalizing these feature-related transparency mechanisms through which stakeholders work with data sets we provided recommendations on how to incorporate them into designing and developing open data portals.Social implicationsThe creation of appropriate open data portals aims to fulfil the principles of open government and enables stakeholders to effectively engage in the policy and decision-making processes.Originality/valueBy analyzing existing national open data portals and validating the feature-related transparency mechanisms, this paper fills this gap in existing literature on designing and developing open data portals for transparency efforts.

Asymmetric Open Government Data (OGD) framework in India

2018 ◽  
Vol 20 (5) ◽  
pp. 434-448 ◽  
Author(s):  
Stuti Saxena
Keyword(s):  
Economic Value ◽  
Open Data ◽  
Developed Countries ◽  
Open Government ◽  
Data Sets ◽  
Indian States ◽  
Content Type ◽  
Open Government Data ◽  
Government Data ◽  
The Government

Purpose With the ongoing drives towards Open Government Data (OGD) initiatives across the globe, governments have been keen on pursuing their OGD policies to ensure transparency, collaboration and efficiency in administration. As a developing country, India has recently adopted the OGD policy (www.data.gov.in); however, the percolation of this policy in the States has remained slow. This paper aims to underpin the “asymmetry” in OGD framework as far as the Indian States are concerned. Besides, the study also assesses the contribution of “Open Citizens” in furthering the OGD initiatives of the country. Design/methodology/approach An exploratory qualitative following a case study approach informs the present study using documentary analysis where evidentiary support from five Indian States (Uttar Pradesh, Telangana, West Bengal, Sikkim and Gujarat) is being drawn to assess the nature and scope of the OGD framework. Further, conceptualization for “Open Citizen” framework is provided to emphasize upon the need to have aware, informed and pro-active citizens to spearhead the OGD initiatives in the country. Findings While the National OGD portal has a substantial number of data sets across different sectors, the States are lagging behind in the adoption and implementation of OGD policies, and while Telangana and Sikkim have been the frontrunners in adoption of OGD policies in a rudimentary manner, others are yet to catch up with them. Further, there is “asymmetry” in terms of the individual contribution of the government bodies to the open data sets where some government bodies are more reluctant to share their datasets than the others. Practical implications It is the conclusion of the study that governments need to institutionalize the OGD framework in the country, and all the States should appreciate the requirement of adopting a robust OGD policy for furthering transparency, collaboration and efficiency in administration. Social implications As an “Open Citizen”, it behooves upon the citizens to be pro-active and contribute towards the open data sets which would go a long way in deriving social and economic value out of these data sets. Originality/value While there are many studies on OGD in the West, studies focused upon the developing countries are starkly lacking. This study plugs this gap by attempting a comparative analysis of the OGD frameworks across Indian States. Besides, the study has provided a conceptualization of “Open Citizen” (OGD) which may be tapped for further research in developing and developed countries to ascertain the linkage between OGD and OC.

scholarly journals A SELF-ORGANIZING MAP FOR MIXED CONTINUOUS AND CATEGORICAL DATA

2011 ◽  
pp. 24-32 ◽  
Author(s):  
Nicoleta Rogovschi ◽  
Mustapha Lebbah ◽  
Younès Bennani
Keyword(s):  
Clustering Algorithm ◽  
Clustering Algorithms ◽  
Mixed Data ◽  
Categorical Variables ◽  
Data Sets ◽  
Self Organizing Map ◽  
Data Set ◽  
Public Data ◽  
Self Organizing

Most traditional clustering algorithms are limited to handle data sets that contain either continuous or categorical variables. However data sets with mixed types of variables are commonly used in data mining field. In this paper we introduce a weighted self-organizing map for clustering, analysis and visualization mixed data (continuous/binary). The learning of weights and prototypes is done in a simultaneous manner assuring an optimized data clustering. More variables has a high weight, more the clustering algorithm will take into account the informations transmitted by these variables. The learning of these topological maps is combined with a weighting process of different variables by computing weights which influence the quality of clustering. We illustrate the power of this method with data sets taken from a public data set repository: a handwritten digit data set, Zoo data set and other three mixed data sets. The results show a good quality of the topological ordering and homogenous clustering.

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