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Author: search.filters.author.Ingle, P.V.Subject: search.filters.subject.Knowledge management

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    Enhancing Knowledge Management in the Construction Industry: Exploring the Impact of Semantic Web Technologies
    (Springer Science and Business Media Deutschland GmbH, 2025) Kone, V.; Mahesh, G.; Ingle, P.V.
    This research paper investigates the practical applications of Semantic Web technologies within the construction industry, specifically focusing on their role in knowledge management. The methodology employed for this research entails a systematic literature review, wherein relevant studies pertaining to Semantic Web technologies in the construction industry are gathered and meticulously analyzed. The study’s findings provide valuable insights into the benefits, challenges, and opportunities associated with the implementation of Semantic Web technologies for knowledge management purposes. The research reveals that Semantic Web technologies play a vital role in facilitating enhanced knowledge discovery, integration, and retrieval within construction projects. By establishing interoperability and integrating diverse data sources, these technologies effectively break down data silos and enable a comprehensive view of project information. Moreover, the study demonstrates that Semantic Web technologies support efficient collaboration, improve decision-making processes, and enable advanced analytics and predictive capabilities within construction projects. The significance of this research paper lies in its contribution to the understanding of Semantic Web technologies and their potential to revolutionize knowledge management practices within the construction industry. In conclusion, this research paper highlights the transformative impact of Semantic Web technologies on knowledge management in construction, establishing a robust foundation for future research and practical implementation in this dynamic industry. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.