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Application of semantic web techniques in DW/BI systems for strategic management

2025Artigo científico Acesso aberto
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datacite.subject.sdg09:Indústria, Inovação e Infraestruturas
datacite.subject.sdg08:Trabalho Digno e Crescimento Económico
datacite.subject.sdg16:Paz, Justiça e Instituições Eficazes
dc.contributor.authorAntunes, António Lorvão
dc.contributor.authorBarateiro, José
dc.contributor.authorCardoso, Elsa
dc.date.accessioned2026-05-12T09:32:03Z
dc.date.available2026-05-12T09:32:03Z
dc.date.issued2025
dc.description.abstractSemantic Web techniques, such as ontologies, facilitate data and knowledge sharing in Information Systems due to their semantic formalization and inference qualities. Integrating knowledge-based artifacts into Decision Support Systems, such as Data Warehouse and Business Intelligence (DW/BI) systems, can provide new information sources, enable new analytical capabilities, and enhance decision-making. In previous work, the Balanced Scorecard Ontology (BSO) was developed to represent knowledge related to the Balanced Scorecard framework, including its concepts and relationships. The BSO was used to assess strategy formulation, implementation, and execution in a public sector organization, demonstrating its impact on strategy management. However, manual ontology population, especially related to performance indicator values, can lead to challenges in data availability, acquisition frequency, and quality. This paper proposes a semantic approach to integrating, aligning, and ensuring traceability between strategy and DW/BI systems. The Light Data Warehouse Ontology is introduced to represent the DW conceptual and logical models and semantically connect them with strategic information using the BSO. This integration enriches strategy analysis by providing strategic context to the BI environment and enabling automatic retrieval of performance indicator values. The proposed framework improves decision-making efficiency, reliability, and timeliness, providing managers with a data-driven environment aligned with organizational strategy.eng
dc.description.sponsorshipUIDB/04466/2023; 2021.07134; IACDC/2024; UID/04516/NOVA
dc.identifier.doi10.1109/access.2025.3610577
dc.identifier.issn2169-3536
dc.identifier.urihttp://hdl.handle.net/10400.1/28928
dc.language.isoeng
dc.peerreviewedyes
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.relationInformation Sciences, Technologies and Architecture Research Center
dc.relation.ispartofIEEE Access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectBalanced scorecard
dc.subjectBalanced scorecard ontology
dc.subjectData warehouse/business intelligence systems
dc.subjectSemantic web
dc.subjectStrategic management
dc.titleApplication of semantic web techniques in DW/BI systems for strategic managementeng
dc.typejournal article
dspace.entity.typePublication
oaire.awardNumberUIDP/04466/2020
oaire.awardTitleInformation Sciences, Technologies and Architecture Research Center
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F04466%2F2020/PT
oaire.citation.endPage163119
oaire.citation.startPage163103
oaire.citation.titleIEEE Access
oaire.citation.volume13
oaire.fundingStream6817 - DCRRNI ID
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameBarateiro
person.givenNameJosé
person.identifier.orcid0000-0002-4036-5528
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
relation.isAuthorOfPublication7f5fdaac-733a-49f1-b83b-04fa3a7dd494
relation.isAuthorOfPublication.latestForDiscovery7f5fdaac-733a-49f1-b83b-04fa3a7dd494
relation.isProjectOfPublication73209cc2-5c5a-48be-b5ff-e16a49ef6061
relation.isProjectOfPublication.latestForDiscovery73209cc2-5c5a-48be-b5ff-e16a49ef6061

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