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CRule: Category-Aware Symbolic Multihop Reasoning on Knowledge Graphs
Wang, Zikang1; Li, Linjing1,2; Li, Jinlin1; Zhao, Pengfei1; Zeng, Daniel1,2
Source PublicationIEEE INTELLIGENT SYSTEMS
ISSN1541-1672
2023-09-01
Volume38Issue:5Pages:56-64
Corresponding AuthorWang, Zikang(wangzikang2016@ia.ac.cn)
AbstractMultihop reasoning is essential in knowledge graph (KG) research and applications. Current methods rely on specific KG entities, while human cognition operates at a more abstract level. This article proposes a category-aware rule-based (CRule) approach for symbolic multihop reasoning. Specifically, given a KG, CRule first categorizes entities and constructs a category-aware KG; it then uses rules retrieved from the categorized KG to perform multihop reasoning on the original KG. Experiments on five datasets show that CRule is simple, is effective, and combines the advantages of symbolic and neural network methods. It overcomes symbolic reasoning's complexity limitations, can perform reasoning on KGs of more than 300,000 edges, and can be three times more efficient than neural network models.
KeywordCognition Intelligent systems Spread spectrum communication Data mining Computational modeling Complexity theory Knowledge graphs
DOI10.1109/MIS.2023.3291567
Indexed BySCI
Language英语
Funding ProjectNational Key Research and Development Program of China[2020AAA0103405] ; National Natural Science Foundation of China[62206282] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDA27030100]
Funding OrganizationNational Key Research and Development Program of China ; National Natural Science Foundation of China ; Strategic Priority Research Program of Chinese Academy of Sciences
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Artificial Intelligence ; Engineering, Electrical & Electronic
WOS IDWOS:001081922300006
PublisherIEEE COMPUTER SOC
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/52982
Collection舆论大数据科学与技术应用联合实验室
Corresponding AuthorWang, Zikang
Affiliation1.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100039, Peoples R China
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Corresponding Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Wang, Zikang,Li, Linjing,Li, Jinlin,et al. CRule: Category-Aware Symbolic Multihop Reasoning on Knowledge Graphs[J]. IEEE INTELLIGENT SYSTEMS,2023,38(5):56-64.
APA Wang, Zikang,Li, Linjing,Li, Jinlin,Zhao, Pengfei,&Zeng, Daniel.(2023).CRule: Category-Aware Symbolic Multihop Reasoning on Knowledge Graphs.IEEE INTELLIGENT SYSTEMS,38(5),56-64.
MLA Wang, Zikang,et al."CRule: Category-Aware Symbolic Multihop Reasoning on Knowledge Graphs".IEEE INTELLIGENT SYSTEMS 38.5(2023):56-64.
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