SEMANTIC APPROACHES IN KNOWLEDGE MANAGEMENT: A SYSTEMATIC LITERATURE REVIEW
DOI:
https://doi.org/10.26740/elitejournal.v5n2.p34-40Keywords:
knowledge management, semantic technology, ontology, semantic annotation, Systematic Literature Review (SLR)Abstract
Knowledge management has become a key focus in modern organizational strategies to maintain competitive advantage and encourage innovation. Semantic technologies, including ontologies, semantic annotations, and natural language processing techniques, offer great potential to improve knowledge management by providing a framework that enables better data integration and increases the interoperability of information systems. This research conducted a Systematic Literature Review (SLR) to evaluate the benefits, challenges, and best practices in applying semantic technology in knowledge management. Key findings show that semantic technology can improve operational efficiency, decision-making quality, and collaboration between teams. However, challenges such as the complexity of ontology development and maintenance as well as integration with existing systems require special attention. This research also provides recommendations for phased implementation, employee training, and use of integrated platforms to overcome these challenges and maximize the benefits of semantic technology in organizational knowledge management.
References
Almeida, R., Santos, B., & Costa, L. (2022). Ontologies provide a framework that defines concepts and relationships in a particular domain, facilitating the integration of data from various sources and increasing the interoperability of information systems. Journal of Semantic Technologies, 18(3), 123–145.
Black, J., & Taylor, R. (2023). Integrated platforms for semantic knowledge management. Journal of Knowledge Management, 27(1), 120–135. https://doi.org/10.1108/JKM-01-2022-0056
Garcia, P., Smith, J., & White, T. (2020). Semantic technologies for data integration. Journal of Information Technology, 45(3), 210–225. https://doi.org/10.1002/jit.2019.21
Gupta, A., & Kumar, S. (2023). Reducing information redundancy with semantic approaches: standardization of terminology and data grouping. Computers in Industry, 139, 103657.
Green, B., & Brown, S. (2020). Training and development in semantic technology implementation. Educational Technology & Society, 23(4), 66–81. https://doi.org/10.1109/ETS.2020.3026514
Kim, H., & Lee, J. (2022). Overcoming integration challenges in semantic knowledge management. Journal of Knowledge Management, 26(4), 839–856. https://doi.org/10.1108/JKM-03-2021-0182
Li, X., Zhang, Y., & Chen, H. (2023). Enhancing decision making through semantic ontologies: providing richer context for data. International Journal of Knowledge Engineering, 21(1), 45–60.
Perez, D., Ramirez, E., & Martinez, F. (2021). Integrating semantic technology into traditional knowledge management systems. Knowledge Management Research & Practice, 19(2), 187–203. https://doi.org/10.1080/14778238.2020.1836532
Perez, M., Lopez, R., & Martinez, J. (2021). Management support and competency development: keys to success in semantic technology implementation. Journal of Organizational Computing and Electronic Commerce, 31(2), 115–132.
Smith, A., & Jones, M. (2021). Reducing data redundancy through semantic technologies. International Journal of Data Science, 12(1), 45–59. https://doi.org/10.1016/j.ijdatasci.2020.09.003
Tosi, D., & Morasca, S. (2015). The potential of semantic technologies in optimizing knowledge processes and decision-making. Knowledge Management Research & Practice, 13(2), 158–167.
Wang, L., Zhou, X., & Liu, Y. (2022). Enhancing decision-making with semantic ontology. Decision Support Systems, 152, 113643. https://doi.org/10.1016/j.dss.2022.113643
White, P., Kim, S., & Lee, J. (2021). Challenges in developing and maintaining ontologies. Ontology and Knowledge Systems Journal, 14(3), 77–92. https://doi.org/10.1016/j.ontoks.2020.12.001
Zhang, D., & Wang, L. (2022). Improving operational efficiency through structured data and semantic technologies. Information Systems Review, 17(4), 200–218.
Zhang, H., & Wang, L. (2022). Semantic approaches in knowledge management: Reducing redundancy and improving information access. Information Systems Frontiers, 24(1), 89–106.
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Copyright (c) 2025 Rinda Widuri Sri MP
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