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Knowledge Graph Lifecycle: Building and maintaining Knowledge Graphs
, 2021 Presentation for the paper in the workshop proceedings http://ceur-ws.org/Vol-2873/
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Semantic-Enhanced Knowledge Graph Completion
MathematicsKnowledge graphs (KGs) serve as structured representations of knowledge, comprising entities and relations. KGs are inherently incomplete, sparse, and have a strong need for completion.
Xu Yuan +6 more
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Interest Capturing Recommendation Based on Knowledge Graph [PDF]
Jisuanji kexueAs a kind of auxiliary information,knowledge graph can provide more context information and semantic association information for the recommendation system,thereby improving the accuracy and interpretability of the recommendation.By mapping items into ...
JIN Yu, CHEN Hongmei, LUO Chuan
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Ozymandias: A biodiversity knowledge graph [PDF]
PeerJ, 2018 AbstractEnormous quantities of biodiversity data are being made available online, but much of this data remains isolated in their own silos. One approach to breaking these silos is to map local, often database-specific identifiers to shared global identifiers.
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Proceedings of the VLDB Endowment, 2021 Providing machines with comprehensive knowledge of the world's entities and their relationships has been a long-standing vision and challenge for AI. Over the last 15 years, huge knowledge bases, also known as knowledge graphs, have been automatically constructed from web data, and have become a key asset for search engines and other use cases. Machine
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A knowledge graph approach for interpretable prediction of pathogenic genetic interactions
, 2022 Alexandre Renaux +5 more
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Unsupervised Anomaly Detection in Knowledge Graphs [PDF]
, 2021 Asara Senaratne +3 more
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Knowledge Graph Essentials and Key Technologies
Современные информационные технологии и IT-образование, 2019 In recent decades, the amount of information that humankind has accumulated has increased tremendously. People cannot analyze it effectively using simple algorithms, and data structures due to these approaches do not understand the se¬mantics of the data.
Vladislav Gurin +5 more
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Learner preferences prediction with mixture embedding of knowledge and behavior graph
Tongxin xuebao, 2021 To solve the problems of inaccurate prediction of learner preference and insufficient utilization of structural information in the knowledge recommendation model, for the knowledge structure and learner behavior structure in the learner’s preference ...
Xiaoguang LI +4 more
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