Thinking space generation using context-enhanced knowledge fusion for systematic brain computing
Article
Kuai, Hongzhi, Tao, Xiaohui and Zhong, Ning. 2023. "Thinking space generation using context-enhanced knowledge fusion for systematic brain computing." Web Intelligence. 21 (4), pp. 345-361. https://doi.org/10.3233/WEB-220089
Article Title | Thinking space generation using context-enhanced knowledge fusion for systematic brain computing |
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ERA Journal ID | 32174 |
Article Category | Article |
Authors | Kuai, Hongzhi, Tao, Xiaohui and Zhong, Ning |
Journal Title | Web Intelligence |
Journal Citation | 21 (4), pp. 345-361 |
Number of Pages | 17 |
Year | 2023 |
Publisher | IOS Press |
Place of Publication | Netherlands |
ISSN | 1570-1263 |
1875-9289 | |
2405-6456 | |
2405-6464 | |
Digital Object Identifier (DOI) | https://doi.org/10.3233/WEB-220089 |
Web Address (URL) | https://journals.sagepub.com/doi/10.3233/WEB-220089 |
Abstract | The convergence of systems neuroscience and open science arouses great interest in the current brain big data era, highlighting the thinking capability of intelligent agents in handling multi-source knowledge, information and data across various levels of granularity. To realize such thinking-inspired brain computing during a brain investigation process, one of the major challenges is to find a holistic brain map that can model multi-dimensional variables of brain investigations across brain functions, experimental tasks, brain data and analytical methods synthetically. In this paper, we propose a context-enhanced graph learning method to fuse open knowledge from different sources, including: contextual information enrichment, structural knowledge fusion, and holistic graph learning. Such a method can enhance contextual learning of abstract concepts and relational learning between two concepts that have large gap from different dimensions. As a result, an extensible space, namely Thinking Space, is generated to represent holistic variables and their relations in a map, which currently contributes to the field of brain research for systematic brain computing. In the future, the Thinking Space coupled with the rapid development and spread of artificial intelligence generated content will be developed in more scenarios so as to promote global interactions of intelligence in the connected world. © 2023 - IOS Press. All rights reserved. |
Keywords | brain big data; Thinking space; brain computing; web intelligen; context enhancement; brain informa; knowledge fusion; brain map |
Contains Sensitive Content | Does not contain sensitive content |
ANZSRC Field of Research 2020 | 460502. Data mining and knowledge discovery |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | Maebashi Institute of Technology, Japan |
School of Mathematics, Physics and Computing | |
Capital Normal University, China | |
Beijing University of Technology, China |
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