Results 31 to 40 of about 221,324 (264)
Noisy Knowledge Graph Representation Learning: a Rule-Enhanced Method [PDF]
Jisuanji kexue yu tansuo, 2023 Knowledge graphs are used to store structured facts, which are presented in the form of triples, i.e., (head entity, relation, tail entity). Current large-scale knowledge graphs are usually constructed with (semi-) automated methods for knowledge ...
SHAO Tianyang, XIAO Weidong, ZHAO Xiang
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CoRR, 2020 Knowledge graphs (KGs) have shown to be an important asset of large companies like Google and Microsoft. KGs play an important role in providing structured and semantically rich information, making them available to people and machines, and supplying accurate, correct and reliable knowledge.
Elwin Huaman +2 more
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Cybersecurity knowledge graphs
Knowledge and Information Systems, 2023 AbstractCybersecurity knowledge graphs, which represent cyber-knowledge with a graph-based data model, provide holistic approaches for processing massive volumes of complex cybersecurity data derived from diverse sources. They can assist security analysts to obtain cyberthreat intelligence, achieve a high level of cyber-situational awareness, discover ...
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Survey of Research on Curriculum Knowledge Graph Construction Techniques [PDF]
Jisuanji gongchengIn the context of ongoing advancements in educational informatization, constructing precise and efficient curriculum knowledge graphs has become key to promoting personalized education development.
SUN Lijun, MENG Fanjun, XU Xingjian
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Advances in Knowledge Graph Embedding Based on Graph Neural Networks [PDF]
Jisuanji kexue yu tansuo, 2023 As graph neural networks continue to develop, knowledge graph embedding methods based on graph neural networks are receiving increasing attention from researchers.
YAN Zhaoyao, DING Cangfeng, MA Lerong, CAO Lu, YOU Hao
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BioMedInformatics, 2023 Semantic web technologies (SWT) represent data in a format that is easier for machines to understand. Validating the knowledge in data graphs created using SWT is critical to ensure that the axioms accurately represent the so-called “real” world. However,
Rashmi Burse +2 more
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LifeGraph: A Knowledge Graph for Lifelogs [PDF]
Proceedings of the Third Annual Workshop on Lifelog Search Challenge, 2020 The data produced by efforts such as life logging is commonly multi modal and can have manifold interrelations with itself as well as external information. Representing this data in such a way that these rich relations as well as all the different sources can be leveraged is a non-trivial undertaking.
Rossetto, Luca +5 more
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Frontiers in Big Data, 2021 Knowledge graphs are a modern way to store information. However, the knowledge they contain is not static. Instances of various classes may be added or deleted and the semantic relationship between elements might evolve as well.
Jon Haël Brenas, Arash Shaban-Nejad
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Restricting the Spurious Growth of Knowledge Graphs by Using Ontology Graphs
IEEE AccessKnowledge Graphs have demonstrated a real advantage in knowledge representation, leveraging graphs NoSQL structures and schema-less technology, which offers superior comprehension, knowledge representation, interpretation, and reasoning.
Kina Tatchukova, Yanzhen Qu
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Keyphrase Extraction Using Knowledge Graphs
Data Science and Engineering, 2017 Extracting keyphrases from documents automatically is an important and interesting task since keyphrases provide a quick summarization for documents. Although lots of efforts have been made on keyphrase extraction, most of the existing methods (the co ...
Wei Shi +4 more
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