Knowledge Representation and Reuse of Ship Block Coating Based on Knowledge Graph Article Swipe
Henan Bu
,
Peng Yang
,
Qinzheng Guo
,
Honggen Zhou
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/coatings14010024
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.3390/coatings14010024
Ship coating, as one of the three pillar processes in the shipbuilding industry, runs through the entire process of ship construction. However, there is currently a lack of effective organization, management methods, and mechanisms for ship coating process data, which not only leads to the dispersion of data but also limits the effective representation and reuse of the coating knowledge. To solve this problem, this paper takes the ship block coating process as the research object and proposes a method for knowledge modeling and reuse of coating knowledge using knowledge graph and question answering technology. Compared with existing strategies, this paper introduces the temporal knowledge graph, which allows for dynamic updating and generation of the knowledge graph specific to ship coating processes. In addition, we apply the knowledge embedding question answering (KEQA) method improved by the analytic hierarchy process (AHP) to facilitate high-quality retrieval and personalized question answering regarding ship block coating knowledge. We validate the proposed method using block coating process data from the 81200DWT bulk carrier and advanced ship coating methods and optimization data. The results demonstrate that the AHP-KEQA (KEQA method improved by the AHP) method improves the accuracy of knowledge question answering compared with KEQA, which further reinforces the effectiveness of the AHP-KEQA method for question answering of ship block coating knowledge.
Related Topics
Concepts
Computer science
Reuse
Coating
Analytic hierarchy process
Graph
Block (permutation group theory)
Shipbuilding
Knowledge representation and reasoning
Artificial intelligence
Theoretical computer science
Operations research
Engineering
Mathematics
Materials science
Composite material
History
Geometry
Waste management
Archaeology
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3390/coatings14010024
- https://www.mdpi.com/2079-6412/14/1/24/pdf?version=1703593427
- OA Status
- gold
- Cited By
- 1
- References
- 51
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4390235631
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4390235631Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3390/coatings14010024Digital Object Identifier
- Title
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Knowledge Representation and Reuse of Ship Block Coating Based on Knowledge GraphWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2023Year of publication
- Publication date
-
2023-12-25Full publication date if available
- Authors
-
Henan Bu, Peng Yang, Qinzheng Guo, Honggen ZhouList of authors in order
- Landing page
-
https://doi.org/10.3390/coatings14010024Publisher landing page
- PDF URL
-
https://www.mdpi.com/2079-6412/14/1/24/pdf?version=1703593427Direct link to full text PDF
- Open access
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YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
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https://www.mdpi.com/2079-6412/14/1/24/pdf?version=1703593427Direct OA link when available
- Concepts
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Computer science, Reuse, Coating, Analytic hierarchy process, Graph, Block (permutation group theory), Shipbuilding, Knowledge representation and reasoning, Artificial intelligence, Theoretical computer science, Operations research, Engineering, Mathematics, Materials science, Composite material, History, Geometry, Waste management, ArchaeologyTop concepts (fields/topics) attached by OpenAlex
- Cited by
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1Total citation count in OpenAlex
- Citations by year (recent)
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2025: 1Per-year citation counts (last 5 years)
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51Number of works referenced by this work
- Related works (count)
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10Other works algorithmically related by OpenAlex
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| referenced_works | https://openalex.org/W2601864136, https://openalex.org/W6846508899, https://openalex.org/W2120219545, https://openalex.org/W4311898698, https://openalex.org/W3009418960, https://openalex.org/W4210578383, https://openalex.org/W3199469221, https://openalex.org/W2737281289, https://openalex.org/W3086257582, https://openalex.org/W2746575323, https://openalex.org/W3177015224, https://openalex.org/W3196283113, https://openalex.org/W3043687417, https://openalex.org/W3175211395, https://openalex.org/W2590025346, https://openalex.org/W3106844781, https://openalex.org/W2954247439, https://openalex.org/W2568629409, https://openalex.org/W3003507729, https://openalex.org/W4389038592, https://openalex.org/W4210652533, https://openalex.org/W4388439145, https://openalex.org/W2419173203, https://openalex.org/W6703755215, https://openalex.org/W2572289264, https://openalex.org/W2605089588, https://openalex.org/W2908230750, https://openalex.org/W3215669477, https://openalex.org/W3158246105, https://openalex.org/W4318022855, https://openalex.org/W2188661153, https://openalex.org/W3117495465, https://openalex.org/W4312140420, https://openalex.org/W2083330748, https://openalex.org/W2552534312, https://openalex.org/W4366291944, https://openalex.org/W4380757924, https://openalex.org/W3126594737, https://openalex.org/W2511659939, https://openalex.org/W2965129587, https://openalex.org/W3005630920, https://openalex.org/W2250539671, https://openalex.org/W2127795553, https://openalex.org/W4386369890, https://openalex.org/W4382136235, https://openalex.org/W3004492937, https://openalex.org/W4210817894, https://openalex.org/W3097649022, https://openalex.org/W4386779859, https://openalex.org/W3010821291, https://openalex.org/W4308675431 |
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