Utilize este identificador para referenciar este registo: http://hdl.handle.net/10071/31926
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dc.contributor.authorBasto-Fernandes, V.-
dc.contributor.authorSalvador, D.-
dc.contributor.authorYevseyeva, I.-
dc.contributor.authorEmmerich, M.-
dc.contributor.editorDimo Brockhoff-
dc.contributor.editorMichael Emmerich-
dc.contributor.editorBoris Naujoks-
dc.contributor.editorRobin Purshouse-
dc.date.accessioned2024-06-25T08:23:49Z-
dc.date.available2024-06-25T08:23:49Z-
dc.date.issued2023-
dc.identifier.citationBasto-Fernandes, V., Salvador, D., Yevseyeva, I., & Emmerich, M. (2023). Many-criteria optimisation and decision analysis ontology and knowledge management. In. D. Brockhoff, M. Emmerich, B. Naujoks, & R. Purshouse (Eds.) Many-criteria optimization and decision analysis: State-of-the-art, present challenges, and future perspectives ( pp. 337-354). Springer. https://doi.org/10.1007/978-3-031-25263-1_13-
dc.identifier.isbn978-3-031-25263-1-
dc.identifier.issn1619-7127-
dc.identifier.urihttp://hdl.handle.net/10071/31926-
dc.description.abstractn this chapter, we present a Many-Criteria Optimisation and Decision Analysis (MACODA) Ontology and MACODA Knowledge Management Web-Based Platform (named MyCODA, available at http://macoda.club) for the research community. The purpose of this initiative is to allow for the collaborative development of an ontology to represent the MACODA knowledge domain and to make available a set of integrated tools for its use by researchers and practitioners. MyCODA is a knowledge-based platform to identify and describe MACODA research constructs, and to explore how these constructs relate to each other. It is designed to model and systematise the knowledge created by the MACODA research community, supporting features such as querying and reasoning, by means of formal logics, and use cases such as training new learners and finding research gaps in the MACODA research domain.eng
dc.language.isoeng-
dc.publisherSpringer Nature-
dc.relation.ispartofMany-criteria optimization and decision analysis: State-of-the-art, present challenges, and future perspectives-
dc.relation.ispartofseriesNatural Computing Series;-
dc.rightsopenAccess-
dc.subjectMany-Objective optimisationeng
dc.subjectMACODA ontologyeng
dc.subjectOWL -- Web Ontology Languageeng
dc.subjectKnowledge managementeng
dc.subjectMACODA community platformeng
dc.titleMany-criteria optimisation and decision analysis ontology and knowledge managementeng
dc.typebookPart-
dc.event.locationCham - Switzerlandeng
dc.pagination337 - 354-
dc.peerreviewedyes-
dc.date.updated2024-06-25T09:29:01Z-
dc.description.versioninfo:eu-repo/semantics/acceptedVersion-
dc.identifier.doi10.1007/978-3-031-25263-1_13-
dc.subject.fosDomínio/Área Científica::Ciências Naturais::Matemáticaspor
dc.subject.fosDomínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informaçãopor
iscte.subject.odsIndústria, inovação e infraestruturaspor
iscte.identifier.cienciahttps://ciencia.iscte-iul.pt/id/ci-pub-97325-
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