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New framework DEC enhances knowledge graphs with epistemic stance reasoning

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Researchers have introduced DEC, a new framework designed to enhance knowledge graphs by interpreting provenance statements as indicators of epistemic stance. This approach groups statements into 'cognitive worlds' and uses modal logic to reason about attributed content, distinguishing between claims, interpretations, and observer-independent facts. A prototype DEC reasoner has been implemented for Fuseki datasets, supporting controlled factualization and the explicit detection of disagreements. AI

RANK_REASON The cluster contains a research paper published on arXiv detailing a new framework for knowledge graphs. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

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New framework DEC enhances knowledge graphs with epistemic stance reasoning

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The cluster contains a research paper published on arXiv detailing a new framework for knowledge graphs. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · Fabio Vitali, Valentina Pasqual ·

    Provenance-Enhanced Statements in Knowledge Graphs

    arXiv:2606.15246v1 Announce Type: cross Abstract: Provenance-enhanced statements of the form "according to $X$, $\varphi$" are pervasive in contemporary knowledge graphs, especially in domains where graph content primarily represents claims, interpretations, and hypotheses (\emph…

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