Analysis reveals modularity change and interdisciplinary integration in the Semantic Web, indicating significant shifts in research trajectories.
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.
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Argoubi et al. (2025) studied this question.
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