Advancing Women’s Empowerment through Data-Driven Systems: An Ontological Knowledge Model for Holistic Assessment

Advancing Women’s Empowerment through Data-Driven Systems: An Ontological Knowledge Model for Holistic Assessment | 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 Advancing Women’s Empowerment through Data-Driven Systems: An Ontological Knowledge Model for Holistic Assessment Aswathi Padmavilochanan, Tarek Rashed, Gopakumar G, Christie Gressel, and 1 more This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-3865453/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 Social systems that involve humans as interacting agents are complex due to the massively entangled interactions between the agents and the environment. Social engagement initiatives such as Women’s Empowerment (WE) exemplify a social system actively seeking sophisticated solutions for sharing information, acquiring knowledge, and conducting a comprehensive assessment of its impact on well-informed and effective decision-making. To facilitate this, we propose a Computational Social Science approach to assess WE. This involves integrating computational and data science methodologies into the AWESOME theoretical framework (Accelerating Women’s Empowerment through Systems Model. Despite the existence of valuable digital data, conducting a thorough evaluation of empowerment is challenging due to the variability and heterogene-ity in data source formats and types. To overcome this challenge, we propose a new ontology, AweOnto, tailored to the women’s empowerment domain and anchored in the AWESOME framework. AweOnto serves to bridge the diversity of data sources by establishing relationships between core domain concepts, functioning as an ontological knowledge model. The paper first presents how AweOnto is conceptually modeled based on the existing ontology development methodologies. Next, it discusses the model’s implementation using the protege tool owl format. The paper then demonstrates the usability of AweOnto for its application in information extraction in the form of domain-specific concept detection. The paper discusses the potential of applying ontology for exploring and extracting meta-information from unstructured texts through multi-labeled hierarchical annotations. The resulting annotations in the form of labels/tags are not intended to replace the available keywords but rather provide complimentary detailed information about the different aspects of WE. Domain Ontology Knowledge Modeling Computational Social Science Gender Quality Automated Information Extraction 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-3865453","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":267333784,"identity":"f4369f77-ba31-4530-b2ef-7b92e518bd5b","order_by":0,"name":"Aswathi Padmavilochanan","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAAA+UlEQVRIiWNgGAWjYLACxgYJBn4omweJxAMOArVINkC18BCphYHB4ACyNfi08PefMfz8cYdFnvHx0wkMP3PuydizH2B88LYNtxaJGznGEgfPSBSbncndwNi7rZiHhyeB2XAuHi0MN3g3SBxsk0jcdiB3AwPvtgSgXxLYpHnxaJE/f3bzD5CWzf1vNzD+BWnhf8D+G58WgwO528C2bJDI3cAMtkUigY0ZnxbDG/nfLM62SRRL3Hi74bAsSMuNh82Sc87h1iJ3/ljyjcq2ujz+/tyND99uS7Bn708++OFNGR7vQ0ECiDgAYTM2EFYP0zIKRsEoGAWjACsAAF7LVRSAGmFUAAAAAElFTkSuQmCC","orcid":"","institution":"Amrita Vishwa Vidyapeetham","correspondingAuthor":true,"prefix":"","firstName":"Aswathi","middleName":"","lastName":"Padmavilochanan","suffix":""},{"id":267333785,"identity":"2e28dfc3-3c3a-4efc-9182-24c96288a31d","order_by":1,"name":"Tarek Rashed","email":"","orcid":"","institution":"Civilizology LLC","correspondingAuthor":false,"prefix":"","firstName":"Tarek","middleName":"","lastName":"Rashed","suffix":""},{"id":267333786,"identity":"455b6424-23c7-4216-9e21-aa021c62583f","order_by":2,"name":"Gopakumar G","email":"","orcid":"","institution":"Amrita School of Computing, Amrita Vishwa Vidyapeetham","correspondingAuthor":false,"prefix":"","firstName":"Gopakumar","middleName":"","lastName":"G","suffix":""},{"id":267333787,"identity":"5dc8f678-b4d9-4888-8cc2-991b48839a9f","order_by":3,"name":"Christie Gressel","email":"","orcid":"","institution":"Center For Women's Empowerment and Gender Equality","correspondingAuthor":false,"prefix":"","firstName":"Christie","middleName":"","lastName":"Gressel","suffix":""},{"id":267333788,"identity":"a4b12a52-8e6c-40d0-9d5a-9824c5594a50","order_by":4,"name":"Bhavani R Rao","email":"","orcid":"","institution":"Amrita Vishwa Vidyapeetham","correspondingAuthor":false,"prefix":"","firstName":"Bhavani","middleName":"R","lastName":"Rao","suffix":""}],"badges":[],"createdAt":"2024-01-15 05:01:07","currentVersionCode":1,"declarations":"","doi":"10.21203/rs.3.rs-3865453/v1","doiUrl":"https://doi.org/10.21203/rs.3.rs-3865453/v1","draftVersion":[],"editorialEvents":[],"editorialNote":"","failedWorkflow":false,"files":[{"id":58435406,"identity":"7b5a6a10-ef55-4328-85a6-0fde8f5f1d41","added_by":"auto","created_at":"2024-06-16 07:10:53","extension":"pdf","order_by":1,"title":"","display":"","copyAsset":false,"role":"manuscript-pdf","size":1845332,"visible":true,"origin":"","legend":"","description":"","filename":"AwesOntoComptSoSc.pdf","url":"https://assets-eu.researchsquare.com/files/rs-3865453/v1_covered_541e4082-bb1b-4edb-b99a-485229f75685.pdf"}],"financialInterests":"No competing interests reported.","formattedTitle":"Advancing Women’s Empowerment through Data-Driven Systems: An Ontological Knowledge Model for Holistic Assessment","fulltext":[],"fulltextSource":"","fullText":"","funders":[],"hasAdminPriorityOnWorkflow":false,"hasManuscriptDocX":false,"hasOptedInToPreprint":true,"hasPassedJournalQc":"","hasAnyPriority":false,"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":"[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":"Domain Ontology, Knowledge Modeling, Computational Social Science, Gender Quality, Automated Information Extraction","lastPublishedDoi":"10.21203/rs.3.rs-3865453/v1","lastPublishedDoiUrl":"https://doi.org/10.21203/rs.3.rs-3865453/v1","license":{"name":"CC BY 4.0","url":"https://creativecommons.org/licenses/by/4.0/"},"manuscriptAbstract":"Social systems that involve humans as interacting agents are complex due to the massively entangled interactions between the agents and the environment. 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