Probabilistic Claim Resolution for Author Entities in Scholarly Graphs
This work formalizes a claim workflow that separates platform users, researcher profiles and author entities, improving identity resolution without degrading product usability.
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This work formalizes a claim workflow that separates platform users, researcher profiles and author entities, improving identity resolution without degrading product usability.
We present a graph-native product architecture for scholarly sensemaking where work pages, topic maps and researcher trust signals reduce time-to-understanding for new literature.
We precompute neighborhoods over works, authors, communities and institutions to speed exploratory search.
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