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Open Research Knowledge Graph:A System Walkthrough

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arxiv 2206.01439 v1 pith:3NEKMIVW submitted 2022-06-03 cs.DL

Mohamad Yaser Jaradeh , Allard Oelen , Manuel Prinz , Markus Stocker , Sören Auer This is my paper
classification cs.DL
keywords scholarlyknowledgeresearchgraphmachineopenorkgrepresenting
verification ladder T0 review T1 audit T2 compute T3 formal
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Despite improved digital access to scholarly literature in the last decades, the fundamental principles of scholarly communication remain unchanged and continue to be largely document-based. Scholarly knowledge remains locked in representations that are inadequate for machine processing. The Open Research Knowledge Graph (ORKG) is an infrastructure for representing, curating and exploring scholarly knowledge in a machine actionable manner. We demonstrate the core functionality of ORKG for representing research contributions published in scholarly articles. A video of the demonstration and the system are available online.

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Cited by 1 Pith paper

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  1. Open-Source Agentic Hybrid RAG Framework for Scientific Literature Review

    cs.IR 2025-07 conditional novelty 4.0 of 10

    A DPO-tuned agentic hybrid RAG system that routes queries between a knowledge graph and a vector store beat a static baseline on a self-generated benchmark.

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