Publicação
VE4OCPM: An Object-Centric Process Mining Variant Explorer Visualisation Approach
| datacite.subject.fos | Ciências Naturais::Ciências da Computação e da Informação | |
| datacite.subject.sdg | 09:Indústria, Inovação e Infraestruturas | |
| datacite.subject.sdg | 08:Trabalho Digno e Crescimento Económico | |
| dc.contributor.author | Gaspar, Marco A. P. | |
| dc.contributor.author | Martinho, Ricardo F. G. | |
| dc.contributor.author | Ferreira, Carlos J. R. | |
| dc.date.accessioned | 2026-04-28T11:14:03Z | |
| dc.date.available | 2026-04-28T11:14:03Z | |
| dc.date.issued | 2026-03-24 | |
| dc.date.updated | 2026-04-23T12:08:18Z | |
| dc.description | CENTERIS - International Conference on ENTERprise Information Systems / ProjMAN - International Conference on Project MANagement / HCist - International Conference on Health and Social Care Information Systems and Technologies 2025; 26 a 28 de novembro de 2025; Abu Dhabi, Emirados Árabes Unidos. | |
| dc.description.abstract | This work presents the Variant Explorer, a dual-mode visualisation for Object-Centric Process Mining that reveals control-flow variability and object interactions across process variants, combining object details and subway-map views for intuitive analysis of complex processes. Understanding process variants is essential to detect deviations, exceptions, and improvement opportunities. However, traditional process mining tools assume one case per process instance, which do not work well when events involve multiple objects, such as orders, products, and packages. Existing Object-Centric approaches, like OCπ and Object-Centric Process Analysis (OCPA), introduced models and libraries to support multi-object analysis, but many face technical and usability limitations. To address this gap, this proposal provides two complementary visualisations that show object participation and variant differences side-by-side. Evaluation with real logistics data and user interpretation tests shows that users are able to identify repetitions, skipped activities, deviations, and object interactions clearly. This work offers a practical and interpretable solution for variant analysis in Object-Centric Process Mining (OCPM) and supports better understanding for analysts and business stakeholders. | eng |
| dc.description.version | info:eu-repo/semantics/publishedVersion | |
| dc.identifier.citation | Gaspar, M. A. P., Martinho, R. F. G., & Ferreira, C. J. R. (2026). VE40CPM: An Object-Centric Process Mining Variant Explorer Visualisation Approach. Procedia Computer Science, 278, 906–914. https://doi.org/10.1016/j.procs.2026.04.120 | |
| dc.identifier.doi | 10.1016/j.procs.2026.03.065 | en_US |
| dc.identifier.issn | 1877-0509 | en_US |
| dc.identifier.slug | cv-prod-5021477 | |
| dc.identifier.uri | http://hdl.handle.net/10400.8/16208 | |
| dc.language.iso | eng | |
| dc.peerreviewed | yes | |
| dc.publisher | Elsevier | |
| dc.relation.hasversion | https://www.sciencedirect.com/science/article/pii/S1877050926006575 | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
| dc.subject | Object-centric Process Mining | |
| dc.subject | Visualisation | |
| dc.subject | Variant Analysis | |
| dc.subject | Subway Map | |
| dc.subject | Process Deviations | |
| dc.title | VE4OCPM: An Object-Centric Process Mining Variant Explorer Visualisation Approach | eng |
| dc.type | conference paper | |
| dspace.entity.type | Publication | |
| oaire.citation.conferenceDate | 2025-11 | |
| oaire.citation.conferencePlace | Abu Dhabi, Emirados Árabes Unidos | |
| oaire.citation.endPage | 914 | |
| oaire.citation.startPage | 906 | |
| oaire.citation.title | Procedia Computer Science | en_US |
| oaire.citation.volume | 278 | en_US |
| oaire.version | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |
| person.familyName | Martinho | |
| person.givenName | Ricardo | |
| person.identifier.ciencia-id | F51E-9BB5-EF92 | |
| person.identifier.orcid | 0000-0003-1157-7510 | |
| person.identifier.rid | K-8277-2013 | |
| person.identifier.scopus-author-id | 25823103700 | |
| rcaap.cv.cienciaid | F51E-9BB5-EF92 | Ricardo Martinho | |
| rcaap.rights | openAccess | en_US |
| relation.isAuthorOfPublication | b2a74e46-f06c-4dcd-8c64-8f78f1d55440 | |
| relation.isAuthorOfPublication.latestForDiscovery | b2a74e46-f06c-4dcd-8c64-8f78f1d55440 |