Publicação
An AI-driven Ukrainian history web platform
| datacite.subject.fos | Engenharia e Tecnologia::Engenharia Eletrotécnica, Eletrónica e Informática | |
| datacite.subject.sdg | 04:Educação de Qualidade | |
| datacite.subject.sdg | 09:Indústria, Inovação e Infraestruturas | |
| datacite.subject.sdg | 11:Cidades e Comunidades Sustentáveis | |
| dc.contributor.author | Kolomiets, Valentyna | |
| dc.contributor.author | Oliveira, Pedro Filipe | |
| dc.contributor.author | Matos, Paulo | |
| dc.date.accessioned | 2026-03-20T16:55:37Z | |
| dc.date.available | 2026-03-20T16:55:37Z | |
| dc.date.issued | 2025 | |
| dc.description.abstract | The AI-driven Ukrainian History web platform offers an innovative way for users to engage with the nation’s rich history. By integrating artificial intelligence, natural language processing (NLP), and geospatial analysis, it presents historical events, significant locations, and notable figures in an interactive and visually engaging format. The platform systematically gathers historical data using tools like Scrapy for web scraping and Tesseract OCR for digitizing scanned documents. While noisy or degraded documents may affect accuracy, the availability of high-quality sources ensures reliable data extraction. Fine-tuned NLP models, including transformers like BERT and RoBERTa, process the data to identify and categorize key entities such as dates, locations, and names of historical figures. Contextual summarization ensures the extracted information is both accurate and easy to understand. Geospatial data is managed with PostGIS, an extension of PostgreSQL, and visualized using Leaflet.js. An interactive map interface enables users to explore events by location and time period, with filters for categories like political milestones or cultural events. The backend, built on PostgreSQL, ensures scalability and performance, while development in Visual Studio Code streamlined integration across components. This platform not only preserves Ukraine’s cultural heritage but also demonstrates the potential of modern technology to transform historical education, offering an intuitive way to connect with the past and explore its influence on Ukraine’s landscape and culture. | eng |
| dc.description.sponsorship | This work was supported by national funds through FCT/ MCTES (PIDDAC): CeDRI, UIDB/05757/2020 (doi: 10.54499/UIDB/05757/2020) and UIDP/05757/2020 (doi: 10.54499/UIDP/05757/2020); and SusTEC, LA/P/0007/2020 (doi: 10.54499/LA/P/0007/2020). | |
| dc.identifier.citation | Kolomiets, Valentyna; Oliveira, Pedro F.; Matos, Paulo (2025). An AI-Driven Ukrainian history web platform. Applied Human Factors and Ergonomics International. ISSN 2771-0718. 161, p. 342-348. DOI: 10.54941/ahfe1005926 | |
| dc.identifier.doi | 10.54941/ahfe1005926 | |
| dc.identifier.issn | 2771-0718 | |
| dc.identifier.uri | http://hdl.handle.net/10198/36183 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.publisher | AHFE International | |
| dc.relation | Research Centre in Digitalization and Intelligent Robotics | |
| dc.relation | Associate Laboratory for Sustainability and Tecnology in Mountain Regions | |
| dc.relation.ispartof | AHFE International | |
| dc.relation.ispartof | Human Interaction and Emerging Technologies (IHIET-AI 2025): Artificial Intelligence and Future Applications | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0/ | |
| dc.subject | AI-driven web scraping | |
| dc.subject | Interactive map | |
| dc.subject | Named entity recognition (NER) | |
| dc.title | An AI-driven Ukrainian history web platform | eng |
| dc.type | journal article | |
| dspace.entity.type | Publication | |
| oaire.awardNumber | UIDP/05757/2020 | |
| oaire.awardNumber | LA/P/0007/2020 | |
| oaire.awardTitle | Research Centre in Digitalization and Intelligent Robotics | |
| oaire.awardTitle | Associate Laboratory for Sustainability and Tecnology in Mountain Regions | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F05757%2F2020/PT | |
| oaire.awardURI | info:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/LA%2FP%2F0007%2F2020/PT | |
| oaire.citation.endPage | 348 | |
| oaire.citation.startPage | 342 | |
| oaire.citation.title | Applied Human Factors and Ergonomics International | |
| oaire.citation.volume | 161 | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.fundingStream | 6817 - DCRRNI ID | |
| oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |
| person.familyName | Oliveira | |
| person.familyName | Matos | |
| person.givenName | Pedro Filipe | |
| person.givenName | Paulo | |
| person.identifier | R-002-2BA | |
| person.identifier.ciencia-id | 7E15-B360-5AD3 | |
| person.identifier.ciencia-id | DD15-B2BC-3908 | |
| person.identifier.orcid | 0000-0002-2848-1606 | |
| person.identifier.orcid | 0000-0003-0010-4777 | |
| person.identifier.rid | C-7882-2017 | |
| person.identifier.rid | I-5726-2018 | |
| person.identifier.scopus-author-id | 57193342842 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.identifier | http://doi.org/10.13039/501100001871 | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
| project.funder.name | Fundação para a Ciência e a Tecnologia | |
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