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Author: Paweł Dymora

Affiliation: Faculty of Electrical and Computer Engineering, Rzeszów University of Technology, al. Powstańców Warszawy 12, 35 959 Rzeszów, Poland

Keyword(s): Open Data, Open Government, Knowledge Management, Complex Systems, Data Mining, IoT, Smart City.

Abstract: In this study, we focus on Open Government Data, which is the sphere of public services where such type of data can be useful. In the Industry 4.0 concept, the primary data source is the IoT infrastructure. Open Data is of considerable importance for the software development process. The issue of Open Data is becoming a significant challenge nowadays. Especially when it comes to preparing data for sharing, analyzing it, and searching for hidden dependencies, which opens up new possibilities for computing and artificial intelligence. The paper shows that the architecture of solutions existing, e.g., in Poland, follows global trends. Together with statistics based on the Socrata portal, it can be noticed that these data can be and are successfully used for data processing. New methods and software are being developed for processing data as we write. The vast majority of software is data-driven, and data are needed for verification and validation. The article presents a comprehensive an alysis of available open data portals with data.json files as also the analysis of the most commonly used data formats for Open Data Network portal databases. (More)

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Paper citation in several formats:
Dymora, P. (2020). Analysis of Selected Characteristics of Open Data Inception Portals in the Context of Smart Cities IoT Data Accessibility. In Proceedings of the 16th International Conference on Web Information Systems and Technologies - WEBIST; ISBN 978-989-758-478-7; ISSN 2184-3252, SciTePress, pages 67-74. DOI: 10.5220/0010117600670074

@conference{webist20,
author={Paweł Dymora.},
title={Analysis of Selected Characteristics of Open Data Inception Portals in the Context of Smart Cities IoT Data Accessibility},
booktitle={Proceedings of the 16th International Conference on Web Information Systems and Technologies - WEBIST},
year={2020},
pages={67-74},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010117600670074},
isbn={978-989-758-478-7},
issn={2184-3252},
}

TY - CONF

JO - Proceedings of the 16th International Conference on Web Information Systems and Technologies - WEBIST
TI - Analysis of Selected Characteristics of Open Data Inception Portals in the Context of Smart Cities IoT Data Accessibility
SN - 978-989-758-478-7
IS - 2184-3252
AU - Dymora, P.
PY - 2020
SP - 67
EP - 74
DO - 10.5220/0010117600670074
PB - SciTePress