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Knowledge Management Systems in Business Management Using Knowledge Graphs and Semantic Technologies

Author

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  • Yara Mohammad

    (American University of Sharjah, UAE)

  • Mirna Nachouki

    (Ajman University, UAE)

  • Elfadil A. Mohamed

    (Ajman University, UAE)

Abstract

Knowledge Management Systems (KMS) are vital for organizations in managing knowledge creation, sharing, and utilization. Integrating KMS with advanced technologies like knowledge graphs and semantic technologies can greatly enhance their functionality in business contexts. This research aims to systematically reviews and evaluates studies on the integration of knowledge graphs and semantic technologies. The study follows PRISMA guidelines for methodological rigor. The review includes articles published between 2005 and 2024 from databases like ScienceDirect and IEEE Xplore, focusing on keywords such as “knowledge graph” and “knowledge management systems.” From an initial 18,900 articles, 73 were selected for detailed analysis. The findings indicate that using tools like RDF, SPARQL, OWL, and SKOS enhances KMS capabilities, enabling features like semantic search and intelligent recommendations. However, challenges such as scalability, semantic disambiguation, and data privacy need to be addressed to fully realize KMS's potential in supporting organizational knowledge management.

Suggested Citation

  • Yara Mohammad & Mirna Nachouki & Elfadil A. Mohamed, 2025. "Knowledge Management Systems in Business Management Using Knowledge Graphs and Semantic Technologies," International Journal of Knowledge Management (IJKM), IGI Global, vol. 21(1), pages 1-29, January.
    • Handle: RePEc:igg:jkm000:v:21:y:2025:i:1:p:1-29
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