OAEI的知识图谱跟踪--黄金标准、基线和金锤偏差
The Knowledge Graph Track at OAEI -- Gold Standards, Baselines, and the Golden Hammer Bias
摘要：
本体对齐评估计划（OAEI）是本体匹配工具的年度评估。2018年，我们已经开启了知识图谱赛道，其目标是评估大规模知识图谱的实体和模式的同步匹配。在本文中，我们讨论了轨道的设计和两种不同的策略的金本位创造。我们分析的结果和经验，在第一版的轨道，并揭示了一个隐藏的任务，我们表明，所有的工具提交给轨道（可能也是其他轨道）遭受的偏见，我们命名为金锤偏见。
英文摘要：
The Ontology Alignment Evaluation Initiative (OAEI) is an annual evaluation of ontology matching tools. In 2018, we have started the Knowledge Graph track, whose goal is to evaluate the simultaneous matching of entities and schemas of large-scale knowledge graphs. In this paper, we discuss the design of the track and two different strategies of gold standard creation. We analyze results and experiences obtained in first editions of the track, and, by revealing a hidden task, we show that all tools submitted to the track (and probably also to other tracks) suffer from a bias which we name the golden hammer bias.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
