论文标题
开放研究知识图：系统演练
Open Research Knowledge Graph:A System Walkthrough
论文作者
论文摘要
尽管过去几十年来数字访问的数字访问得到了改善，但学术沟通的基本原理仍然没有变化，并继续基于文档。学术知识仍然锁定在机器处理不足的表示中。开放研究知识图（ORKG）是用于以机器可行的方式代表，策展和探索学术知识的基础架构。我们演示了ORKG的核心功能，用于代表在学术文章中发表的研究贡献。演示和系统的视频可在线获得。
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.
