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Published in 2021 at "Cognitive Systems Research"
DOI: 10.1016/j.cogsys.2020.12.006
Abstract: Abstract The risk assessment of knowledge fusion in innovation ecosystems is directly related to these ecosystems’ success or failure. A back-propagation (BP) neural network optimized by a genetic algorithm (GA) is thus proposed to evaluate…
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Keywords:
knowledge fusion;
neural network;
risk;
network ... See more keywords
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Published in 2022 at "IEEE/CAA Journal of Automatica Sinica"
DOI: 10.1109/jas.2022.105947
Abstract: Knowledge graphs (KGs) have been widely accepted as powerful tools for modeling the complex relationships between concepts and developing knowledge-based services. In recent years, researchers in the field of power systems have explored KGs to…
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Keywords:
knowledge fusion;
power;
knowledge;
knowledge graphs ... See more keywords
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Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/9948218
Abstract: On-board system fault knowledge base (KB) is a collection of fault causes, maintenance methods, and interrelationships among on-board modules and components of high-speed railways, which plays a crucial role in knowledge-driven dynamic operation and maintenance…
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Keywords:
knowledge;
board;
knowledge fusion;
board system ... See more keywords
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Published in 2017 at "Journal of Computational Chemistry"
DOI: 10.4236/jcc.2017.510001
Abstract: With the rapid development and popularization of web services, the available information types and structure are becoming more and more complex and challenging. Actually web services involve the need for dynamic integration and transparent knowledge…
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Keywords:
information;
ontology;
ontology mapping;
fusion synchronization ... See more keywords