A Weighted Knowledge Graph for Representing the Results of a Systematic Literature Review

Advanced Information Systems Engineering Workshops: CAiSE 2023 International Workshops: Proceedings. Lecture Notes in Business Information Processing, Vol.482 2023
Jolanta Graudone, Mārīte Kirikova

In information systems engineering, one of the most important success factors is understanding the latest scientific research on the use of IT solutions in the enterprise's field of activity. For this purpose, systemic literature reviews are often used to identify the most important concepts and their relationships in a respective domain. This paper illustrates how a knowledge graph can help to visualize and analyze the results of a systemic literature review. A simplified weighted knowledge graph, in which weights are assigned to its nodes, is constructed using the results of a systematic literature review on the application of the agile approach to the development of information systems in the public sector. The graph reflects and, also, helps to analyze the collected information on the state of the art of agile information systems engineering in public organizations.

Keywords
Agile; Knowledge Graph; Knowledge Management; Public Sector
DOI
10.1007/978-3-031-34985-0_13
Hyperlink
https://link.springer.com/chapter/10.1007/978-3-031-34985-0_13

Graudone, J., Kirikova, M. A Weighted Knowledge Graph for Representing the Results of a Systematic Literature Review. In: Advanced Information Systems Engineering Workshops: CAiSE 2023 International Workshops: Proceedings. Lecture Notes in Business Information Processing, Vol.482, Spain, Zaragoza, 12-16 June, 2023. Cham: Springer, 2023, pp.125-131. ISBN 978-3-031-34984-3. e-ISBN 978-3-031-34985-0. ISSN 1865-1348. e-ISSN 1865-1356. Available from: doi:10.1007/978-3-031-34985-0_13

Publication language
English (en)