<p>The efficient utilization of Open Government Data (OGD) is one of the current major challenges for Small and Medium Enterprises (SMEs). OGD helps SMEs to find new business opportunities, offer high quality services and generate economic value. Current OGD platforms address issues such as data classifications and synchronization. Despite the extensive efforts to develop OGD platforms, there are still limitations. Existing platforms do not provide the ability for SME users to run complex queries which are based on data analytics techniques and algorithms. Also, they do not provide a smooth integration of data from different data sources. This paper introduces a Service-Oriented Architecture called the Data Analytics Framework (DAF) to design OGD platforms that provide functionality through provision of these services. The proposed framework is evaluated through a real life case study of COVID-19 impacts on SMEs, with specific reference to the use of sentiment analysis as an example data analysis technique applied to OGD.</p>
History
School
Science
Department
Computer Science
Published in
Proceedings of Ongoing Research, Practitioners, Posters, Workshops, and Projects. International Conference EGOV-CeDEM-ePart 2022
This is an Open Access Article. It is published by CEUR-WS, RWTH Aachen under the Creative Commons Attribution 4.0 International Licence (CC BY). Full details of this licence are available at: https://creativecommons.org/licenses/by/4.0/
Acceptance date
2022-04-30
Publication date
2023-05-20
Copyright date
2022
Notes
Full list of editors: Marijn Janssen; Csaba Csáki; Marius Rohde Johannessen; Robert Krimmer; Thomas Lampoltshammer; Ida Lindgren; Euripidis Loukis; Ulf Melin; Peter Parycek; Gabriela Viale Pereira; Manuel Pedro Rodríguez Bolívar; Gerhard Schwabe; Efthimios Tambouris; Jolien Ubacht
Marijn Janssen; Csaba Csáki; Marius Rohde Johannessen; Robert Krimmer; Thomas Lampoltshammer; Ida Lindgren; Euripidis Loukis; Ulf Melin; Peter Parycek; Gabriela Viale Pereira; Manuel Pedro Rodríguez Bolívar; Gerhard Schwabe; Efthimios Tambouris