{"paper_id":"2dbfcaed-f09a-4c9f-baa8-63af7f791691","body_text":"NeSyMatch: A Neuro-Symbolic Approach for Knowledge Alignment | 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 NeSyMatch: A Neuro-Symbolic Approach for Knowledge Alignment Abhisek Sharma, Sarika Jain This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7921039/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract Knowledge alignment is both a critical and complex challenge in the broader task of knowledge integration. With the remarkable success of transformer-based models across diverse domains, their potential has been increasingly explored for knowledge alignment. In this work, we present NeSyMatch, a novel neuro-symbolic knowledge alignment system that integrates transformer-based learning with symbolic reasoning techniques. NeSyMatch begins with a lexical matcher to identify and align lexically similar concepts. For the remaining concept pairs, it employs transformer-based similarity methods, selecting the most effective model through an ablation study comparing two fine-tuned variants. Finally, it refines the alignments using a large language model (LLM) and structural cues such as sibling relations. While NeSyMatch is designed to be domain-agnostic, its performance was evaluated on the Bio-ML track dataset from the Ontology Alignment Evaluation Initiative (OAEI). Experimental results show that NeSyMatch consistently outperforms prominent ontology matching (OM) systems, including BERTMap, LogMap, and Matcha in many scenarios. Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted 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. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. 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-7921039\",\"acceptedTermsAndConditions\":true,\"allowDirectSubmit\":true,\"archivedVersions\":[],\"articleType\":\"Research Article\",\"associatedPublications\":[],\"authors\":[{\"id\":543768315,\"identity\":\"484c352f-85f1-4017-9910-de19aeb06c27\",\"order_by\":0,\"name\":\"Abhisek Sharma\",\"email\":\"data:image/png;base64,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\",\"orcid\":\"\",\"institution\":\"National Institute of Technology Kurukshetra\",\"correspondingAuthor\":true,\"prefix\":\"\",\"firstName\":\"Abhisek\",\"middleName\":\"\",\"lastName\":\"Sharma\",\"suffix\":\"\"},{\"id\":543768316,\"identity\":\"0702f093-8d02-41fe-9cb3-18a35a592bb1\",\"order_by\":1,\"name\":\"Sarika Jain\",\"email\":\"\",\"orcid\":\"\",\"institution\":\"National Institute of Technology Kurukshetra\",\"correspondingAuthor\":false,\"prefix\":\"\",\"firstName\":\"Sarika\",\"middleName\":\"\",\"lastName\":\"Jain\",\"suffix\":\"\"}],\"badges\":[],\"createdAt\":\"2025-10-22 08:45:59\",\"currentVersionCode\":1,\"declarations\":\"\",\"doi\":\"10.21203/rs.3.rs-7921039/v1\",\"doiUrl\":\"https://doi.org/10.21203/rs.3.rs-7921039/v1\",\"draftVersion\":[],\"editorialEvents\":[],\"editorialNote\":\"\",\"failedWorkflow\":false,\"files\":[{\"id\":96366730,\"identity\":\"4eccf9ae-3062-49a0-9998-f1bbedf919fd\",\"added_by\":\"auto\",\"created_at\":\"2025-11-20 10:11:50\",\"extension\":\"pdf\",\"order_by\":1,\"title\":\"\",\"display\":\"\",\"copyAsset\":false,\"role\":\"manuscript-pdf\",\"size\":4300144,\"visible\":true,\"origin\":\"\",\"legend\":\"\",\"description\":\"\",\"filename\":\"NeSyMatch.pdf\",\"url\":\"https://assets-eu.researchsquare.com/files/rs-7921039/v1_covered_c4d97e96-e45b-4713-855d-0ac3ecef3fa3.pdf\"}],\"financialInterests\":\"No competing interests reported.\",\"formattedTitle\":\"NeSyMatch: A Neuro-Symbolic Approach for Knowledge Alignment\",\"fulltext\":[],\"fulltextSource\":\"\",\"fullText\":\"\",\"funders\":[],\"hasAdminPriorityOnWorkflow\":false,\"hasManuscriptDocX\":false,\"hasOptedInToPreprint\":true,\"hasPassedJournalQc\":\"\",\"hasAnyPriority\":true,\"hideJournal\":true,\"highlight\":\"\",\"institution\":\"\",\"isAcceptedByJournal\":false,\"isAuthorSuppliedPdf\":true,\"isDeskRejected\":\"\",\"isHiddenFromSearch\":false,\"isInQc\":false,\"isInWorkflow\":false,\"isPdf\":true,\"isPdfUpToDate\":true,\"isWithdrawnOrRetracted\":false,\"journal\":{\"display\":true,\"email\":\"info@researchsquare.com\",\"identity\":\"researchsquare\",\"isNatureJournal\":false,\"hasQc\":true,\"allowDirectSubmit\":true,\"externalIdentity\":\"\",\"sideBox\":\"\",\"snPcode\":\"\",\"submissionUrl\":\"/submission\",\"title\":\"Research Square\",\"twitterHandle\":\"researchsquare\",\"acdcEnabled\":true,\"dfaEnabled\":false,\"editorialSystem\":\"\",\"reportingPortfolio\":\"\",\"inReviewEnabled\":false,\"inReviewRevisionsEnabled\":true},\"keywords\":\"\",\"lastPublishedDoi\":\"10.21203/rs.3.rs-7921039/v1\",\"lastPublishedDoiUrl\":\"https://doi.org/10.21203/rs.3.rs-7921039/v1\",\"license\":{\"name\":\"CC BY 4.0\",\"url\":\"https://creativecommons.org/licenses/by/4.0/\"},\"manuscriptAbstract\":\"Knowledge alignment is both a critical and complex challenge in the broader task of knowledge integration. 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