Protection of Guizhou Miao Batik Culture Based on Knowledge Graph and Deep Learning

Protection of Guizhou Miao Batik Culture Based on Knowledge Graph and Deep Learning | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Protection of Guizhou Miao Batik Culture Based on Knowledge Graph and Deep Learning Huafeng Quan, Yiting Li, Dashuai Liu, Yue Zhou This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4239272/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 13 Jun, 2024 Read the published version in npj Heritage Science → Version 1 posted 7 You are reading this latest preprint version Abstract In the globalization trend, China's cultural heritage is in danger of gradually disappearing. The protection and inheritance of these precious cultural resources has become a critical task. This paper focuses on the Miao batik culture in Guizhou Province, China, and explores the application of knowledge graphs, natural language processing, and deep learning techniques in the promotion and protection of batik culture. We propose a dual-channel mechanism that integrates semantic and visual information, aiming to connect batik pattern features with cultural connotations. First, we use natural language processing techniques to automatically extract batik-related entities and relationships from the literature, and construct and visualize a structured batik pattern knowledge graph. Based on this knowledge graph, users can textually search and understand the images, meanings, taboos, and other cultural information of specific patterns. Second, for the batik pattern classification, we propose an improved ResNet34 model. By embedding average pooling and convolutional operations into the residual blocks and introducing long-range residual connections, the classification performance is enhanced. By inputting pattern images into this model, their subjects can be accurately identified, and then the underlying cultural connotations can be understood. Experimental results show that our model outperforms other mainstream models in evaluation metrics such as accuracy, precision, recall, and F1-score, achieving 99.0%, 99.0%, 98.9%, and 99.0%, respectively. This research provides new ideas for the digital protection of batik culture and demonstrates the great potential of artificial intelligence technology in cultural heritage protection. Guizhou Miao batik cultural heritage knowledge graph ResNet34 Word2vec Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 13 Jun, 2024 Read the published version in npj Heritage Science → Version 1 posted Editorial decision: Revision requested 04 May, 2024 Reviews received at journal 01 May, 2024 Reviewers agreed at journal 17 Apr, 2024 Reviewers invited by journal 14 Apr, 2024 Submission checks completed at journal 09 Apr, 2024 Editor assigned by journal 09 Apr, 2024 First submitted to journal 08 Apr, 2024 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4239272","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":292051596,"identity":"8aecc8cb-5d4d-4528-9d01-a730b3811efe","order_by":0,"name":"Huafeng Quan","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA5klEQVRIiWNgGAWjYLACxgYGBnYgZvhgYGNHvBaeA0B6RkFaMmlamHk+HAKx8QO+G8nPHjDuOCzPw957+LWNwQFmBvbDRzfg0yJ5I83cgPHMYcMennNp1jkGd/gYeNLSbuDTYnAjwUyCse0w436JHDPjHINnzAwSPGYEtKR/A2mx75F/Y2ZsYXCYsYGwlhywLYk9EjzGjxmI0SJ55k0ZUEt6cg9Pjhljj0FaMhshv/AdT98G1GJt28N+xvjDjz82dvzsh4/h1cJwABgdfyBMNgkwiVc5VAsMMH8gqHoUjIJRMApGJAAABpxKwO4hWBYAAAAASUVORK5CYII=","orcid":"","institution":"Guizhou University of Finance and Economics","correspondingAuthor":true,"prefix":"","firstName":"Huafeng","middleName":"","lastName":"Quan","suffix":""},{"id":292051597,"identity":"487c18bb-9d69-4c60-8648-6ee50d4eba82","order_by":1,"name":"Yiting Li","email":"","orcid":"","institution":"Guizhou University of Finance and Economics","correspondingAuthor":false,"prefix":"","firstName":"Yiting","middleName":"","lastName":"Li","suffix":""},{"id":292051598,"identity":"b0d265b4-eb40-4a74-83ea-dc4206912aac","order_by":2,"name":"Dashuai Liu","email":"","orcid":"","institution":"East China University of Science and Technology","correspondingAuthor":false,"prefix":"","firstName":"Dashuai","middleName":"","lastName":"Liu","suffix":""},{"id":292051601,"identity":"b3a66f38-51a5-44d7-9812-0726340ede3d","order_by":3,"name":"Yue Zhou","email":"","orcid":"","institution":"Guizhou Electronic Technology College","correspondingAuthor":false,"prefix":"","firstName":"Yue","middleName":"","lastName":"Zhou","suffix":""}],"badges":[],"createdAt":"2024-04-09 02:44:31","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4239272/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4239272/v1","draftVersion":[],"editorialEvents":[{"content":"https://doi.org/10.1186/s40494-024-01317-y","type":"published","date":"2024-06-14T00:36:36+00:00"}],"editorialNote":"","failedWorkflow":false,"files":[{"id":58321909,"identity":"b026d05a-b07e-4deb-a3bf-2d99b9782b52","added_by":"auto","created_at":"2024-06-14 00:36:42","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1585792,"visible":true,"origin":"","legend":"","description":"","filename":"ProtectionofGuizhouMiaoBatikCultureBasedonKnowledgeGraphandDeepLearning.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4239272/v1_covered_5e90cd64-8e38-4de3-b473-d40480af7e20.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Protection of Guizhou Miao Batik Culture Based on Knowledge Graph and Deep Learning","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"hideJournal":false,"highlight":"","institution":"","isAcceptedByJournal":true,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","identity":"npj-heritage-science","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"hsci","sideBox":"Learn more about [Heritage Science](http://heritagesciencejournal.springeropen.com)","snPcode":"40494","submissionUrl":"https://submission.nature.com/new-submission/40494/3","title":"npj Heritage Science","twitterHandle":"@SpringerOpen","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"em","reportingPortfolio":"BMC/SO AJ","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"Guizhou Miao batik, cultural heritage, knowledge graph, ResNet34, Word2vec","lastPublishedDoi":"10.21203/rs.3.rs-4239272/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4239272/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eIn the globalization trend, China's cultural heritage is in danger of gradually disappearing. 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