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Open Research Knowledge Graph: Next Generation Infrastructure for Semantic Scholarly Knowledge

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arxiv 1901.10816 v3 pith:JEGLXYWN submitted 2019-01-30 cs.DL cs.IR

classification cs.DLcs.IR
keywords knowledgescholarlyinfrastructurefirstformgraphpossibilitiesprocessing
verification ladder T0 review T1 audit T2 compute T3 formal
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Despite improved digital access to scholarly knowledge in recent decades, scholarly communication remains exclusively document-based. In this form, scholarly knowledge is hard to process automatically. In this paper, we present the first steps towards a knowledge graph based infrastructure that acquires scholarly knowledge in machine actionable form thus enabling new possibilities for scholarly knowledge curation, publication and processing. The primary contribution is to present, evaluate and discuss multi-modal scholarly knowledge acquisition, combining crowdsourced and automated techniques. We present the results of the first user evaluation of the infrastructure with the participants of a recent international conference. Results suggest that users were intrigued by the novelty of the proposed infrastructure and by the possibilities for innovative scholarly knowledge processing it could enable.

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Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. From Static Bibliometrics to Dynamic Knowledge Graphs: An LLM-Powered Framework for Modernizing Science, Technology, and Innovation (STI) Analytics

    cs.DL 2026-07 conditional novelty 4.0 of 10

    A conceptual framework for STI analytics that uses LLMs only to propose semantic edges into a versioned knowledge graph, admitting them only after structural, evidentiary, comparative, and expert validation.

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