Similarity Retrieval Algorithm for Virtual Knowledge Graph
Similarity Retrieval Algorithm for Virtual Knowledge Graph
批准号:
22K18004
负责人:
RACHARAK Teeradaj
金额:
$2.5万
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
项目状态:
未结题
起止时间:
2022-04-01 至 2025-03-31
中文摘要
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英文摘要
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.
期刊论文(1)
专著(0)
科研奖励(0)
会议论文
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
DOI:
--
发表时间:
2022
期刊:
影响因子:
--
作者:
[木村凌大, 菊地真人, 大囿忠親, Teeradaj Racharak]
通讯作者:
Teeradaj Racharak