Linked Data Lineage as a foundation of continuous data integration and modern data governance
Our paper focuses on Linked Data Lineage as the collection of modeled organizational data, enabling continuous integration and modern governance in Business-to-Business (B2B) sharing. We first explore approaches organizations adopt to enhance B2B data integration. Next, we highlight key B2B and Busi...
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| Published in | Computer science journal of Moldova Vol. 33; no. 1(97); pp. 91 - 112 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Vladimir Andrunachievici Institute of Mathematics and Computer Science
01.04.2025
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| Subjects | |
| Online Access | Get full text |
| ISSN | 1561-4042 2587-4330 2587-4330 |
| DOI | 10.56415/csjm.v33.05 |
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| Summary: | Our paper focuses on Linked Data Lineage as the collection of modeled organizational data, enabling continuous integration and modern governance in Business-to-Business (B2B) sharing. We first explore approaches organizations adopt to enhance B2B data integration. Next, we highlight key B2B and Business-to-Government (B2G) linked data use cases and strategies for governance frameworks. We review software tools supporting data governance and propose a systemic method for defining organizational integration flows. This is demonstrated through a system enabling businesses to design linked data pipelines, leveraging Semantic Web technologies for continuous integration and governance. Insights and recommendations for improving data sharing processes are provided. |
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| ISSN: | 1561-4042 2587-4330 2587-4330 |
| DOI: | 10.56415/csjm.v33.05 |