Results 41 to 50 of about 68,814 (293)
Frontiers in Big Data, 2023 The knowledge graph is one of the essential infrastructures of artificial intelligence. It is a challenge for knowledge engineering to construct a high-quality domain knowledge graph for multi-source heterogeneous data.
Chenwei Yan +6 more
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Ontology-based military terminology knowledge graph construction method [PDF]
Zhihui kongzhi yu fangzhen, 2023 An ontology-based knowledge graph construction method for military terminology is proposed, which is used to obtain semantic information in military terminologycorpus and construct military terminology knowledge graph.
HUANG Weichun, XIAO Gang, YANG Jian, YUAN Hao
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Constructing knowledge graphs and their biomedical applications
Computational and Structural Biotechnology Journal, 2020 Knowledge graphs can support many biomedical applications. These graphs represent biomedical concepts and relationships in the form of nodes and edges. In this review, we discuss how these graphs are constructed and applied with a particular focus on how machine learning approaches are changing these processes.
David N. Nicholson, Casey S. Greene
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Knowledge Graph Enabled Reading Promotion Research [PDF]
Nongye tushu qingbao xuebao, 2021 [Purpose/Significance] In order to further improve the efficiency of reading promotion at libraries, a new model of accurate reading promotion services based on knowledge graph is actively explored.
WEN Liqing
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Knowledge graph construction for control systems in process industry
智能科学与技术学报, 2022 Achieving intelligence in industrial control systems is a prevailing trend in recent years, with numerous new technologies and ideas prompted.Knowledge graph is a fundamental resource for artificial intelligence, and domain-specific knowledge graph ...
Tianhao MOU, Shaoyuan LI
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11th International Conference on Health Information Science (HIS 2022)
, 2022 This research seeks to optimize the process of identifying correlations in common and high severity diseases via the fusion of knowledge graphs and deep learning artificial intelligence.
Pan, Lei +5 more
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The Materials Experiment Knowledge Graph
, 2023 Materials knowledge is inherently hierarchical. While high-level descriptors such as composition and structure are valuable for contextualizing materials data, the data must ultimately be considered in the context of its low-level acquisition details ...
Santosh, Suram +5 more
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Knowledge Graphs in Construction
, 2022 Knowledge graphs provide a flexible framework for semantically-enriched representation of complex structures. The nodes corresponding to domain entities - events, components, situations, agents, locations, time periods - are connected by named relations - such as participant-of, part-of, connected-to, agent-of, precedes.
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Constructing Knowledge Graphs of Depression
, 2017 Knowledge Graphs have been shown to be useful tools for integrating multiple medical knowledge sources, and to support such tasks as medical decision making, literature retrieval, determining healthcare quality indicators, co-morbodity analysis and many others.
Zhisheng Huang +3 more
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Node Embeddings for Graph Merging: Case of Knowledge Graph Construction [PDF]
Proceedings of the Thirteenth Workshop on Graph-Based Methods for Natural Language Processing (TextGraphs-13), 2019 Combining two graphs requires merging the nodes which are counterparts of each other. In this process errors occur, resulting in incorrect merging or incorrect failure to merge. We find a high prevalence of such errors when using AskNET, an algorithm for building Knowledge Graphs from text corpora.
Szubert, Ida, Steedman, Mark
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