Research on the Semantic Composite Network Recognition Method of Power Distribution DTU Automation Acceptance Virtual Seat System Article Swipe
YOU?
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· 2022
· Open Access
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· DOI: https://doi.org/10.1088/1742-6596/2195/1/012033
Aiming at semantic inaccurate recognition problem caused by the lack of professional vocabulary in the existing corpus, a composite network recognition method for the semantics of the power distribution DTU acceptance virtual agent system is proposed. This method is used to extract and merge the entity, attribute and relationship information of power equipment from multiple data sources to construct a power distribution DTU acceptance knowledge graph. In addition, the graph database is the main body and the SQL database is the extension, and the corpus is stored in a distributed manner. The acceptance test results show that the overall recognition rate of the system platform for the instructions issued by the acceptance personnel in the complex environment is 92.8%, which reduces the acceptance time by more than 70%.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1088/1742-6596/2195/1/012033
- OA Status
- diamond
- References
- 5
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4213177112
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4213177112Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1088/1742-6596/2195/1/012033Digital Object Identifier
- Title
-
Research on the Semantic Composite Network Recognition Method of Power Distribution DTU Automation Acceptance Virtual Seat SystemWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-02-01Full publication date if available
- Authors
-
Hongwei Liu, Yuwei He, Jian Jiang, Liu Xing-ye, Haoyang CuiList of authors in order
- Landing page
-
https://doi.org/10.1088/1742-6596/2195/1/012033Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1088/1742-6596/2195/1/012033Direct OA link when available
- Concepts
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Computer science, Vocabulary, Merge (version control), Expressive power, Artificial intelligence, Database, Information retrieval, Programming language, Philosophy, LinguisticsTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
- References (count)
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5Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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