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Breaking Boundaries: How Influential Research Drives Interdisciplinary Integration in the Semantic Web

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  • Majdi Argoubi

    (University of Sousse, Tunisia)

  • Khaled Mili

    (Department of Quantitative Methods, Business School, King Faisal University, Saudi Arabia)

Abstract

This study applies Structural Variation Analysis (SVA) to examine the transformative impact of the seminal article The Semantic Web by Berners-Lee et al. (2001). Using SVA metrics—modularity change, cluster linkage, centrality divergence, entropy, and harmonic score—we show how this paper restructured the Semantic Web's intellectual landscape. It linked previously isolated areas such as artificial intelligence, knowledge representation, and distributed systems. By introducing RDF, ontologies, and machine-readable semantics, the paper advanced semantic interoperability and automated reasoning. Our co-citation network analysis reveals interdisciplinary clusters and new research trajectories following its publication. SVA complements traditional citation-based evaluation by highlighting early structural influence. This work underscores the role of boundary-spanning research in fostering interdisciplinary integration and shaping the Semantic Web as a scientific field.

Suggested Citation

  • Majdi Argoubi & Khaled Mili, 2025. "Breaking Boundaries: How Influential Research Drives Interdisciplinary Integration in the Semantic Web," International Journal on Semantic Web and Information Systems (IJSWIS), IGI Global Scientific Publishing, vol. 21(1), pages 1-22, January.
    • Handle: RePEc:igg:jswis0:v:21:y:2025:i:1:p:1-22
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