Datasets of Mystery Stories for Knowledge Graph Reasoning Challenge
Datasets of Mystery Stories for Knowledge Graph Reasoning Challenge
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发表时间：
2023
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通讯作者：
Kouji Kozaki;S. Egami;Kyoumoto Matsushita;Takanori Ugai;Takahiro Kawamura;Ken Fukuda
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作者：
Kouji Kozaki;S. Egami;Kyoumoto Matsushita;Takanori Ugai;Takahiro Kawamura;Ken Fukuda
随着人工智能系统在各个社会领域的应用越来越多，对人工智能决策的解释对于保证此类人工智能系统的安全性变得越来越重要。因此，JSAI的语义网和本体特别兴趣小组于2018年启动了知识图推理挑战赛。它要求推理和/或估计罪犯的技术与合理的解释的基础上知识图代表著名的故事福尔摩斯。挑战赛在日本举行了四次，一次作为国际活动。通过他们，共提交了35件作品。在组织挑战的过程中，我们一直在开发关于八个福尔摩斯神秘故事的知识图表。通过挑战，它们得到了扩展和改进。本文报告了为知识图推理挑战赛开发和发布的神秘故事的知识图。
With the increasing application of AI systems across various social domains, the explanation for the AI decision is becoming important to guarantee the security and safety of such AI systems. Therefore, the Special Interest Group on Semantic Web and Ontology of JSAI started the Knowledge Graph Reasoning Challenge in 2018. It calls for techniques for reasoning and/or estimating criminals with a reasonable explanation based on knowledge graphs representing well-known stories of Sherlock Holmes. The challenges were held four times in Japan and once as an international event. Through them, 35 works were submitted in total. In organizing the challenge, we have been developing knowledge graphs about eight Holmes mystery stories. They have been extended and improved through the challenges. This paper reports on the knowledge graphs of mystery stories developed and published for the Knowledge Graph Reasoning Challenge.