Results 31 to 40 of about 247,759 (306)
Towards a Knowledge Graph for Teaching Knowledge Graphs [PDF]
CoRRThis poster paper describes the ongoing research project for the creation of a use-case-driven Knowledge Graph resource tailored to the needs of teaching education in Knowledge Graphs (KGs). We gather resources related to KG courses from lectures offered by the Semantic Web community, with the help of the COST Action Distributed Knowledge Graphs and ...
Ilkou, E., Jiménez-Ruiz, E.
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Embedding-Based First-Order Rule Learning in Large Knowledge Graphs
, 2023 Numerous large knowledge graphs, such as DBpedia, Wikidata, Yago and Freebase, have been developed in the last decade, which contain millions of facts about various entities in the world.
Omran, PG, Wang, Z, Wang, K, Wu, H
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Entity Profiling in Knowledge Graphs
IEEE Access, 2020 Knowledge Graphs (KGs) are graph-structured knowledge bases storing factual information about real-world entities. Understanding the uniqueness of each entity is crucial to the analyzing, sharing, and reusing of KGs.
Xiang Zhang +3 more
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Survey of Research on Knowledge Graph Based on Pre-trained Language Models [PDF]
Jisuanji kexueIn the era of large language models(LLMs),knowledge graphs(KGs),as a structured representation of knowledge,play an irreplaceable role in enhancing the reliability,security,and interpretability of artificial intelligence.With its superior performance in ...
ZENG Zefan, HU Xingchen, CHENG Qing, SI Yuehang, LIU Zhong
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Applications of knowledge graphs for food science and industry
Patterns, 2022 Summary: The deployment of various networks (e.g., Internet of Things [IoT] and mobile networks), databases (e.g., nutrition tables and food compositional databases), and social media (e.g., Instagram and Twitter) generates huge amounts of food data ...
Weiqing Min +3 more
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Knowledge formalization in experience feedback processes : an ontology-based approach [PDF]
, 2008 Because of the current trend of integration and interoperability of industrial systems, their size and complexity continue to grow making it more difficult to analyze, to understand and to solve the problems that happen in their organizations. Continuous
Kamsu-Foguem, Bernard +3 more
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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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Chemical reaction network knowledge graphs: the OntoRXN ontology
, 2022 : The organization and management of large amounts of data has become a major point in almost all areas of human knowledge. In this context, semantic approaches propose a structure for the target data, defining ontologies that state the types of entities
Bo, Carles +3 more
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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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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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