Towards Linked Open Business Registers

2015 ◽  
Vol 11 (2) ◽  
pp. 66-92
Author(s):  
Anastasia Varytimou ◽  
Nikolaos Loutas ◽  
Vassilios Peristeras
Keyword(s):  
Open Government ◽  
Stepwise Approach ◽  
Cross Border ◽  
Lessons Learnt ◽  
Open Government Data ◽  
Business Data ◽  
Government Data ◽  
Machine Readable ◽  
Opening Up ◽  
National Business

Business data is high-value data and has a high reuse potential both in national and in cross-border settings. National business registers, tax authorities and others are currently holding such data. Opening up basic business data and making it available in machine-readable formats will definitely increase its reuse. In this work, the authors present, following a stepwise approach, how this can be achieved. They used a part of the dataset of legal entities, comprising approximately 29000 entities, maintained by the Greek Tax Authorities and described it with the Registered Organization vocabulary (RegOrg). The authors followed a publishing and consumption pipeline and made this data available as Linked Open Government Data (LOGD). They conclude this work with a number of findings and lessons learnt which can be useful for base registers and other owners of authoritative data that are considering moving towards LOGD.

scholarly journals Open Government Data (OGD) Publication as Linked Open Data (LOD): A Survey

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Khadidja Bouchelouche ◽  
Abdessamed Réda Ghomari ◽  
Leila Zemmouchi-Ghomari
Keyword(s):  
Open Data ◽  
Transformation Process ◽  
Linked Open Data ◽  
Open Government ◽  
Semantic Web Technologies ◽  
Data Movement ◽  
Open Government Data ◽  
Data Heterogeneity ◽  
Government Data ◽  
Machine Readable

Open Government Data (OGD) is a movement that has spread worldwide, enabling the publication of thousands of datasets on the Web, aiming to concretize transparency and citizen participatory governance. This initiative can create value by linking data describing the same phenomenon from different perspectives using the traditional Web and semantic web technologies. A framework of these technologies is linked data movement that guides the publication of data and their interconnection in a machine-readable means enabling automatic interpretation and exploitation. Nevertheless, Open Government Data publication as Linked Open Data (LOD) is not a trivial task due to several obstacles, such as data heterogeneity issues. Many works dealing with this transformation process have been published that need to be investigated thoroughly to deduce the general trends and the issues related to this field. The current work proposes a classification of existing methods dealing with OGD-LOD transformation and a synthesis study to highlight their main trends and challenges.

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.

Ranking hospitals’ burn care capacity using cluster analysis on open government data

2021 ◽  
pp. 106166
Author(s):  
HuiYan Ho ◽  
Sheuwen Chuang ◽  
Niann-Tzyy Dai ◽  
Chia-Hsin Cheng ◽  
Wei-Fong Kao
Keyword(s):  
Cluster Analysis ◽  
Open Government ◽  
Burn Care ◽  
Open Government Data ◽  
Government Data ◽  
Care Capacity

scholarly journals Open Government Data: A Stage Model

2011 ◽  
pp. 235-246 ◽  
Author(s):  
Evangelos Kalampokis ◽  
Efthimios Tambouris ◽  
Konstantinos Tarabanis
Keyword(s):  
Open Government ◽  
Stage Model ◽  
Open Government Data ◽  
Government Data

scholarly journals Mining Open Government Data for Business Intelligence Using Data Visualization: A Two-Industry Case Study

2021 ◽  
Vol 16 (4) ◽  
pp. 1042-1065
Author(s):  
Anne Gottfried ◽  
Caroline Hartmann ◽  
Donald Yates
Keyword(s):  
Data Visualization ◽  
Business Intelligence ◽  
Topic Modeling ◽  
Latent Dirichlet Allocation ◽  
Open Government ◽  
Open Government Data ◽  
Market Opportunities ◽  
Government Data ◽  
Source Of Information

The business intelligence (BI) market has grown at a tremendous rate in the past decade due to technological advancements, big data and the availability of open source content. Despite this growth, the use of open government data (OGD) as a source of information is very limited among the private sector due to a lack of knowledge as to its benefits. Scant evidence on the use of OGD by private organizations suggests that it can lead to the creation of innovative ideas as well as assist in making better informed decisions. Given the benefits but lack of use of OGD to generate business intelligence, we extend research in this area by exploring how OGD can be used to generate business intelligence for the identification of market opportunities and strategy formulation; an area of research that is still in its infancy. Using a two-industry case study approach (footwear and lumber), we use latent Dirichlet allocation (LDA) topic modeling to extract emerging topics in these two industries from OGD, and a data visualization tool (pyLDAVis) to visualize the topics in order to interpret and transform the data into business intelligence. Additionally, we perform an environmental scanning of the environment for the two industries to validate the usability of the information obtained. The results provide evidence that OGD can be a valuable source of information for generating business intelligence and demonstrate how topic modeling and visualization tools can assist organizations in extracting and analyzing information for the identification of market opportunities.

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