A Scientific Knowledge Graph with Community Detection and Routes of Search. Testing « GRAPHYP » as a Toolkit for Resilient Upgrade of Scholarly Content

« Unlimited change in scientific terminology challenges integrity in scientific knowledge graph (SKG) representation, while current data and modeling standards, mostly document oriented, hardly allow a resilient semantic upgrade of scholarly content. Moreover, results of a « multimodal knowledge acquisition » are required for an efficient upgrade of search methods: « vital nodes » differ among users of the same keyword, due to distinct needs of scientific communities, rooted in their own interpretations and controversies. Modeling and data are challenged to propose new outcomes, mixing automated information and human choices allowing dynamic community detection: to fulfill this program with GRAPHYP toolkit, we identify a workflow ensuring the objectives of integrity and completeness of search management activities. (…) »

source > hal.archives-ouvertes.fr, Renaud Fabre, Otmane Azeroual, Patrice Bellot, Joachim Schöpfel, Daniel Egret. A Scientific Knowledge Graph with Community Detection and Routes of Search. Testing "GRAPHYP" as a Toolkit for Resilient Upgrade of Scholarly Content. 2021. ⟨hal-03365118⟩

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