Results 31 to 40 of about 1,488,586 (258)
Methods of Patent Knowledge Graph Construction [PDF]
Jisuanji kexue, 2022 Patent knowledge graph plays a important role in patent accurate retrieval,patent in-depth analysis and patent know-ledge training.This paper proposes a practical patent knowledge graph construction method based on seed knowledge graph,text mining and ...
DENG Liang, CAO Cun-gen
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RAGAT: Relation Aware Graph Attention Network for Knowledge Graph Completion
IEEE Access, 2021 Knowledge graph completion (KGC) is the task of predicting missing links based on known triples for knowledge graphs. Several recent works suggest that Graph Neural Networks (GNN) that exploit graph structures achieve promising performance on KGC.
Xiyang Liu +3 more
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Survey on Large Scale Enterprise-level Knowledge Graph Practices [PDF]
Jisuanji gongcheng, 2020 In recent years,knowledge graph and its related technologies have developed rapidly and have been widely used in various cognitive intelligence scenarios in industry.This paper gives a brief description of researches in knowledge graph,and on this basis ...
WANG Haofen, DING Jun, HU Fanghuai, WANG Xin
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Knowledge Extraction from Natural Language Requirements into a Semantic Relation Graph [PDF]
, 2020 Knowledge extraction and representation aims to identify information and to transform it into a machine-readable format. Knowledge representations support Information Retrieval tasks such as searching for single statements, documents, or metadata ...
Schlutter, Aaron, Vogelsang, Andreas
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Process Knowledge Graph Construction Method for Process Reuse
Xibei Gongye Daxue Xuebao, 2019 Aiming at the problems of process knowledge reuse and sharing led by the difficulty of unified representation of complex and diverse process knowledge, a process knowledge graph construction method for process reuse is proposed.
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Knowledge graph and knowledge reasoning: A systematic review
Journal of Electronic Science and Technology, 2022 The knowledge graph (KG) that represents structural relations among entities has become an increasingly important research field for knowledge-driven artificial intelligence. In this survey, a comprehensive review of KG and KG reasoning is provided.
Ling Tian +5 more
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Review of knowledge graph refinement
Dianzi Jishu Yingyong, 2018 Knowledge graph is a new knowledge representation method in the mobile Internet era. Knowledge graph refinement is one of the main contents in application of knowledge graph and its main goal are completion and error detection.
Xie Gang
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Knowledge Graph semantic enhancement of input data for improving AI
, 2020 Intelligent systems designed using machine learning algorithms require a large number of labeled data. Background knowledge provides complementary, real world factual information that can augment the limited labeled data to train a machine learning ...
Bhatt, Shreyansh +3 more
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Knowledge Graph Embedding via Graph Attenuated Attention Networks
IEEE Access, 2020 Knowledge graphs contain a wealth of real-world knowledge that can provide strong support for artificial intelligence applications. Much progress has been made in knowledge graph completion, state-of-the-art models are based on graph convolutional neural
Rui Wang +4 more
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Knowledge Graph Reasoning Based on Tensor Decomposition and MHRP-Learning
Advances in Multimedia, 2021 In the process of learning and reasoning knowledge graph, the existing tensor decomposition technology only considers the direct relationship between entities in knowledge graph. However, it ignores the characteristics of the graph structure of knowledge
Tangsen Huang +3 more
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