Lightweight Technology Stacks for Assistive Linked Annotations

Lightweight Technology Stacks for Assistive Linked Annotations | 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 Short Report Lightweight Technology Stacks for Assistive Linked Annotations Nishad Thalhath This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4817966/v1 This work is licensed under a CC BY 4.0 License Status: Under Review Version 1 posted 9 You are reading this latest preprint version Abstract This report presents the findings of a project from the 8th Biomedical Linked Annotation Hackathon (BLAH) to explore lightweight technology stacks to enhance assistive linked annotations. Using modern JavaScript frameworks and edge functions, in-browser Named Entity Recognition (NER), serverless embedding and vector search within web interfaces, and efficient serverless full-text search were implemented. Through this experimental approach, a proof of concept to demonstrate the feasibility and performance of these technologies was demonstrated. The results show that lightweight stacks can significantly improve the efficiency and cost-effectiveness of annotation tools and provide a local-first, privacy-oriented, and secure alternative to traditional server-based solutions in various use cases. This work emphasizes the potential of developing annotation interfaces that are more responsive, scalable, and user-friendly, which would benefit bioinformatics researchers, practitioners, and software developers. lightweight stacks javascript assistive linked annotations NER serverless search vector search semantic search Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Under Review Version 1 posted Editorial decision: Revision requested 05 Aug, 2024 Reviews received at journal 01 Aug, 2024 Reviews received at journal 28 Jul, 2024 Reviewers agreed at journal 11 Jul, 2024 Reviewers agreed at journal 03 Jul, 2024 Reviewers invited by journal 10 Jun, 2024 Editor assigned by journal 04 Jun, 2024 Submission checks completed at journal 04 Jun, 2024 First submitted to journal 03 Jun, 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-4817966","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Short Report","associatedPublications":[],"authors":[{"id":336004038,"identity":"e1ca4ffd-444e-4d40-b093-d03c74d4aca8","order_by":0,"name":"Nishad Thalhath","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABDElEQVRIiWNgGAWjYDACZgY2BhAyYGBuA3IPyDEws4HE2QhqkTBgYARqSThgTFgLA5qWxAb8qhkYzNnZnz34UcZQZ85+sO3Bzx930re3syU+LmDgy8OlxbKZx9yw5xyDhGVPYrthT8Kz3DmH2Q4bz2BgK8alxeAwD5sEbxvQYQcS2yR4Eg7nzmBmb5PmYWADuhCXFvZnkn9BWs4/bJP8k3A4XYKZvf03fi0MZtJgW24kAg1POJwgwcx2jBm/Fh4zaZlzEpIbbjxsk5ZJO2w4g5ktWZrHAI9fzh9/JvmmzIbf4HzyMck3NoflJfiPGX7mqTiGM8SgQALDqGMJBLRgghrStYyCUTAKRsFwBQAVIk+0vn/C9gAAAABJRU5ErkJggg==","orcid":"","institution":"RIKEN Center for Integrative Medical Sciences","correspondingAuthor":true,"prefix":"","firstName":"Nishad","middleName":"","lastName":"Thalhath","suffix":""}],"badges":[],"createdAt":"2024-07-28 19:37:25","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-4817966/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-4817966/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":63069448,"identity":"55d06484-bc8b-40bd-9505-4ae40fa92f51","added_by":"auto","created_at":"2024-08-22 18:57:48","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":493055,"visible":true,"origin":"","legend":"","description":"","filename":"BLAH2024briefreportv015.pdf","url":"https://assets-eu.researchsquare.com/files/rs-4817966/v1_covered_a6451d1a-18a1-48dc-9470-692fc66cc104.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Lightweight Technology Stacks for Assistive Linked Annotations","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":"genomics-and-informatics","isNatureJournal":false,"hasQc":true,"allowDirectSubmit":false,"externalIdentity":"","sideBox":"Learn more about [Genomics \u0026 Informatics](https://genomicsinform.biomedcentral.com/)","snPcode":"44342","submissionUrl":"https://submission.springernature.com/new-submission/44342/3","title":"Genomics \u0026 Informatics","twitterHandle":"","acdcEnabled":true,"dfaEnabled":true,"editorialSystem":"stoa","reportingPortfolio":"BMC/SO AJ","inReviewEnabled":true,"inReviewRevisionsEnabled":true},"keywords":"lightweight stacks, javascript, assistive linked annotations, NER, serverless search, vector search, semantic search","lastPublishedDoi":"10.21203/rs.3.rs-4817966/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-4817966/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eThis report presents the findings of a project from the 8th Biomedical Linked Annotation Hackathon (BLAH) to explore lightweight technology stacks to enhance assistive linked annotations. 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