Linked open data concept in public institutions - Lower Silesia (Poland) case study

• Autorzy: Lamek Anna

Identyfikatory

DOI

10.29119/1641-3466.2025.218.23

• Języki publikacji: EN

Abstrakty

EN

Purpose: The aim of the article is to review the level of advancement of linked open data (LOD) concept in public institutions, based on the example of Lower Silesia (Poland) organizations. Moreover, this paper considers the level of advancement of Lower Silesia institutions on the famous Tim Berners Lee’s scale and compares the obtained results. Design/methodology/approach: case study of important public institutions of Lower Silesia region, and the assessment of LOD concept advancement, based on 5-star Tim Berners Lee’s scale an short expert interviews. Findings: We can observe considerable interest and willingness to create a network of linked open data, which is visible in the growth of the number of data sets and the ever-expanding structure of the LOD cloud. Implementation of LOD in public institutions can be really helpful in management and decision-making processes. Public entities in Lower Silesia (Poland) should continue to develop their network to reach the highest level of advancement of LOD concept, especially in the context of integration with other data sets. Research limitations/implications: The limitation of the research was the fact that not all public institutions are still familiar with the concept of linked open data, or do not use it to its full extent. Practical implications: In the context of public institutions, LOD can play a key role in improving transparency, efficiency, and data-driven decision-making. Users can freely access information that is crucial to them and use it for interesting social or commercial projects, as well as individual ones. Social implications: The practical implementation of LOD is also related to its social impact, everything depends on the type of data that is made available to users. Very often, they are related to administration, public transport, budget management of smaller and larger communities or health care, what can really contribute to improving the quality of life. Originality/value: For the first time, the level of advancement of the linked open data concept in Polish public institutions was evaluated, which may improve the results in institutions already using this idea but also encourage them to develop the network of linked data resources. Keywords:

Słowa kluczowe

EN

linked open data; management; decision making; big data; data analysis; public institutions; semantic web

PL

dane powiązane; zarządzanie; podejmowanie decyzji; duże zbiory danych; analiza danych; instytucje publiczne; sieć semantyczna

• Wydawca: Wydawnictwo Politechniki Śląskiej
• Czasopismo: Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska
• Rocznik: 2025
• Tom: z. 218
• Strony: 411--426
• Opis fizyczny: Bibliogr. 31 poz.

Twórcy

autor

Lamek Anna

• Faculty of Management, Wrocław University of Science and Technology

• https://orcid.org/0000-0003-1756-1755

Bibliografia

• 1. AGROVOC Food and Agriculture Organization of the United Nations. Retrieved from: https://www.fao.org/agrovoc/, 7.02.2025.
• 2. Berners-Lee, T. (2006). Linked Data - Design Issues. W3C.
• 3. Bizer, C., Heath, T., Berners-Lee, T. (2009). Linked Data - The Story So Far. International Journal on Semantic Web and Information Systems.
• 4. Bridge of knowledge. Retrieved from: https://mostwiedzy.pl/en, 9.02.2025.
• 5. Data.gov. Retrieved from: https://data.gov/, 6.02.2025.
• 6. DBpedia (2025). Latest Core Releases. Retrieved from: https://www.dbpedia.org/resources/latest-core/, 5.02.2025.
• 7. Devopedia (2022). Semantic Web. Version 8. Retrieved from: https://devopedia.org/ semantic-web, 5.02.2025.
• 8. EU Open Data Portal. Retrieved from: https://data.europa.eu/, 6.02.2025.
• 9. Fensel, A. (2013). The Semantic Web Exists. What Next? Conquering Data Workshop, STI Innsbruck, University of Innsbruck. Retrieved from: https://www.slideshare.net/slideshow/ the-semantic-web-exists-what-next-40165845/40165845, 5.02.2025.
• 10. Fox, V. (2011). Schema.org: Google, Bing & Yahoo Unite To Make Search Listings Richer Through Structured Data. Search Engine Land, Retrieved from: https://searchengineland.com/schema-org-google-bing-yahoo-unite-79554, 5.02.2025.
• 11. Heath, T., Bizer, C. (2011). Linked Data: Evolving the Web into a Global Data Space. Synthesis Lectures on the Semantic Web.
• 12. Hitzler, P. (2021). A Review of the Semantic Web Field. Communications of the ACM, vol. 64, no. 2, pp. 76-83, Retrieved from: https://cacm.acm.org/research/a-review-of-the-semantic-web-field/, 6.02.2025.
• 13. INSPIRE Infrastructure for Spatial Information in Europe. Retrieved from: https://knowledge-base.inspire.ec.europa.eu/index_en, 07.02.2025
• 14. Janssen, M., Charalabidis, Y., Zuiderwijk, A. (2012). Benefits, Adoption Barriers and Myths of Open Data and Open Government. Information Systems Management.
• 15. Karpowicz, J. (2019). Otwarte dane i zasoby. Ministerstwo Cyfryzacji. Retrieved from: https://www.gov.pl/web/cyfryzacja/otwarte-dane-publiczne, 15.02.2025.
• 16. Klink, J., Kurzyński, M., Oko, J., Szalbierz, Z., Średniawa, M., Trzaska, R., Walkowiak, K., Węglarz, M., Woźniak, M. (2012). Strategia Rozwoju Społeczeństwa Informacyjnego na Dolnym Śląsku do roku 2020. Retrieved from: https://umwd.dolnyslask.pl/fileadmin/ user_upload/SI/dokumenty/Strategia_Rozwoju_Spoleczenstwa_Informacyjnego_na_Dolnym_Slasku_do_roku_2020_-_2.0_ostateczna.pdf, 15.02.2025.
• 17. Lower Silesia Geoportal. Retrieved from: https://geoportal.dolnyslask.pl, 9.02.2025.
• 18. Lower Silesian Voivodeship Office. Retrieved from: https://www.gov.pl/web/dolnoslaski-uw, 9.02.2025.
• 19. Marshal's Office of the Lower Silesian Voivodeship. Retrieved from: https://bip.dolnyslask.pl/, 9.02.2025.
• 20. Open Data Portal. Retrieved from: https://dane.gov.pl/en, 9.02.2025.
• 21. OpenCorporates. Retrieved from: https://opencorporates.com/, 7.02.2025.
• 22. Page, M., Behrooz, A., Moro, M. (2024). Open data maturity report 2024. Publications Office of the European Union. Retrieved from: https://data.europa.eu/en/publications/open-data-maturity/2024, 6.02.2025.
• 23. Pierwszy rządowy hackathon: przełom w podejściu do danych Publicznych. Retrieved from: https://www.gov.pl/web/cyfryzacja/pierwszy-rzadowy-hackathon-przelom-w-podejsciu-do-danych-publicznych, 15.02.2025.
• 24. Shadbolt, N., Berners-Lee, T., Hall, W. (2006). The Semantic Web Revisited. IEEE Intelligent Systems.
• 25. Singhal, A. (2012). Introducing the Knowledge Graph: things, not strings. Google Blog. Retrieved from: https://blog.google/products/search/introducing-knowledge-graph-things-not/, 5.02.2025.
• 26. Sullivan, D. (2020). A reintroduction to our Knowledge Graph and knowledge panels. Google blog. Retrieved from: https://blog.google/products/search/about-knowledge-graph-and-knowledge-panels/, 5.02.2025.
• 27. The Linked Open Data Cloud (2025). Linked Open Data Cloud diagram. Retrieved from: https://lod-cloud.net/, 5.02.2025.
• 28. World Bank Group. Retrieved from: https://datatopics.worldbank.org/sdgatlas?lang=en, 6.02.2025.
• 29. Wroclaw City Office. Retrieved from: https://bip.um.wroc.pl/, 9.02.2025.
• 30. Wroclaw Open Data. Retrieved from: https://www.wroclaw.pl/open-data/, 9.02.2025.
• 31. Yankulov Milen, (2025). What Are Linked Data and Linked Open Data? Ontotext New York. Retrieved from: https://www.ontotext.com/knowledgehub/fundamentals/linked-data-linked-open-data/, 5.02.2025.