Personalized Exploitation of XML Documents Based on a Domain Ontology

Personalized Exploitation of XML Documents Based on a Domain Ontology | 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 Personalized Exploitation of XML Documents Based on a Domain Ontology OUNNACI IDDIR, AHMED-OUAMER RACHID This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7280478/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 In this paper, we propose an approach for personalized information retrieval of semi-structured documents (XML). The central idea of our work is that the use of external semantic resources such as ontologies (Domain Ontology) and user profile can improve the efficiency of the search process. The weighting of the concepts of our developed domain ontology allows to give more importance to the most specific concepts, because the lower the level at which the concept is located in the hierarchy, the more detailed and targeted the information it provides. Also, the use of a user profile is decisive for the result of a search, without it, an Information Retrieval System (IRS) will behave exactly the same way with all users, i.e. the IRS will return the same list of results for the same query submitted by users with different information needs: they have different knowledge, different preferences, as well as different goals and interests. In the literature, several user profile models have been proposed. In our approach, we represent the user profile as a vector of weighted concepts, as well as documents and queries. We also propose to use semantic similarity measures for relevance assessment. The results obtained using this approach are very promising, which demonstrates the contribution of using ontologies and user profile in improving the efficiency of the search process. Information Retrieval and Management Information Retrieval User Profile Domain Ontology Interests XML Vector model Full Text Additional Declarations The authors declare no competing interests. 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. 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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-7280478","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":494784746,"identity":"05b9bc2f-194c-4210-8b70-f2cb906906b0","order_by":0,"name":"OUNNACI IDDIR","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAAz0lEQVRIiWNgGAWjYBACNoYEgwNwXkIFlMFDvJYzYCH8WoDKDBBsxjYitPCxJ288XMFgk7hduvnhh4fzDkfrzm8+wPDmDx6H8TwrOHiGIS1x55xjxhKJ2w7nbjvGlsA4B481bBI5BgcbGA4nbriRYMYA0cJjwMwjQZSW9G8MiXNgWgyI0pIDtKUBpiWBgF8aDNKMgVqKJRKOpQO1pCUcnHMAtxb59uTNHxsqbGSBDtv48UeNde62w4cPPsAXYhCA7nI8doyCUTAKRsEoIAYAAAGoV11uF9m4AAAAAElFTkSuQmCC","orcid":"","institution":"MOULOUD MAMMERI UNIVERSITE OF TIZI-OUZOU","correspondingAuthor":true,"prefix":"","firstName":"OUNNACI","middleName":"","lastName":"IDDIR","suffix":""},{"id":494784747,"identity":"8991a620-82d5-41b6-acf9-870b2a05889c","order_by":1,"name":"AHMED-OUAMER RACHID","email":"","orcid":"","institution":"MOULOUD MAMMERI UNIVERSITY OF TIZI-OUZOU","correspondingAuthor":false,"prefix":"","firstName":"AHMED-OUAMER","middleName":"","lastName":"RACHID","suffix":""}],"badges":[],"createdAt":"2025-08-02 22:35:10","currentVersionCode":1,"declarations":{"humanSubjects":true,"vertebrateSubjects":false,"conflictsOfInterestStatement":false,"humanSubjectEthicalGuidelines":true,"humanSubjectConsent":true,"humanSubjectClinicalTrial":false,"humanSubjectCaseReport":false,"vertebrateSubjectEthicalGuidelines":false},"doi":"10.21203/rs.3.rs-7280478/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-7280478/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":88312853,"identity":"003518d3-ad1d-478f-b83c-35ac062c0c68","added_by":"auto","created_at":"2025-08-05 07:15:08","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":881086,"visible":true,"origin":"","legend":"","description":"","filename":"MainDocument.pdf","url":"https://assets-eu.researchsquare.com/files/rs-7280478/v1_covered_9ceb2f49-2e0e-434b-97bf-d3ae88b30259.pdf"}],"financialInterests":"The authors declare no competing interests.","formattedTitle":"\u003cp\u003ePersonalized Exploitation of XML Documents Based on a Domain Ontology\u003c/p\u003e","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":true,"hideJournal":true,"highlight":"","institution":"Mouloud Mammeri University of Tizi-Ouzou","isAcceptedByJournal":false,"isAuthorSuppliedPdf":true,"isDeskRejected":"","isHiddenFromSearch":false,"isInQc":false,"isInWorkflow":false,"isPdf":true,"isPdfUpToDate":true,"isWithdrawnOrRetracted":false,"journal":{"display":true,"email":"[email protected]","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":"Information Retrieval, User Profile, Domain Ontology, Interests, XML, Vector model","lastPublishedDoi":"10.21203/rs.3.rs-7280478/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-7280478/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"\u003cp\u003eIn this paper, we propose an approach for personalized information retrieval of semi-structured documents (XML). 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