Similarity Retrieval Algorithm for Virtual Knowledge Graph

虚拟知识图的相似度检索算法

• 批准号: 22K18004
• 负责人: RACHARAK Teeradaj
• 金额: $ 2.5万
• 依托单位: Japan Advanced Institute of Science and Technology
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Early-Career Scientists
• 财政年份: 2022
• 资助国家: 日本
• 起止时间: 2022-04-01 至 2025-03-31
• 项目状态: 未结题
• 来源: https://kaken.nii.ac.jp/en/grant/KAKENHI-PROJECT-22K18004/
• 关键词: Virtual Knowledge Graph; Similarity Algorithms; Information Retrieval; Explainable Similarity; Description Logic; Analogical Reasoning; Knowledge Graph

We have investigated algorithms based on Description Logics to advance the querying of VKG with an explainable similarity score and obtained outlines of the algorithms. We also studied algorithms that go beyond Description Logics. For example, how to inference with analogical reasoning between terminologies, how to complete knowledge graph with weighted knowledge graph embedding. These results can be used to support the implementation in our next step.

我们已经研究了基于描述逻辑的算法，以提高VKG的查询具有可解释的相似性得分，并获得了算法的轮廓。我们还研究了超越描述逻辑的算法。例如，如何通过术语之间的类比推理进行推理，如何通过加权知识图嵌入来完成知识图。这些结果可以用来支持我们下一步的实施。

项目成果

Doing Analogical Reasoning in Dynamic Assumption-based Argumentation Frameworks

在基于动态假设的论证框架中进行类比推理

• 发表时间: 2022
• 作者: 木村凌大;菊地真人;大囿忠親;Teeradaj Racharak
• 通讯作者: Teeradaj Racharak