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Marketing database knowledge extraction - towards a domain ontology

2009-04Conference paper Restricted access
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dc.contributor.authorPinto, Filipe Mota
dc.contributor.authorGago, Pedro
dc.contributor.authorSantos, Manuel Filipe
dc.contributor.authorMota Pinto, Filipe
dc.contributor.authorGago, Pedro
dc.date.accessioned2025-04-14T11:18:24Z
dc.date.available2025-04-14T11:18:24Z
dc.date.issued2009-04
dc.descriptionPalavras-chave: Databases, Ontologies, Data mining, Computer science, Artificial intelligence, Application software, support systems, Knowledge representation, Logic, Inference mechanisms. 2009 International Conference on Intelligent Engineering Systems, INES 2009.
dc.description.abstractOntologies are currently the most prominent computer science research area under development. With this paper we use ontologies at an almost unexplored research area within the marketing discipline, throughout ontological approach to the database marketing. We propose a generic framework supported by ontologies for the knowledge extraction from marketing databases. Therefore this work has two purposes: to integrate ontological approach in Database Marketing and to create domain ontology with a knowledge base that will enhance the entire process at both levels: marketing and knowledge extraction techniques. This research was developed according to two methodological principles, ontology domain double articulation and ontology modularization. At the end of our work we use ontologies to pre-generalize the Database Marketing knowledge through a knowledge base.eng
dc.identifier.citationPinto, F.M.; Gago, P. and Santos, M.F., "Marketing database knowledge extraction - towards a domain ontology," 2009 International Conference on Intelligent Engineering Systems, Barbados, 2009, pp. 193-198, doi: https://doi.org/10.1109/INES.2009.4924761.
dc.identifier.doi10.1109/ines.2009.4924761
dc.identifier.issn1543-9259
dc.identifier.urihttp://hdl.handle.net/10400.8/12787
dc.language.isoeng
dc.peerreviewedyes
dc.publisherIEEE
dc.relation.hasversionhttps://ieeexplore.ieee.org/document/4924761
dc.relation.ispartof2009 International Conference on Intelligent Engineering Systems
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectDatabases
dc.subjectOntologies
dc.subjectData mining
dc.subjectComputer science
dc.subjectArtificial intelligence
dc.subjectApplication software
dc.titleMarketing database knowledge extraction - towards a domain ontologyeng
dc.typeconference paper
dspace.entity.typePublication
oaire.citation.conferenceDate2009-04
oaire.citation.conferencePlaceBarbados
oaire.citation.endPage198
oaire.citation.startPage193
oaire.citation.titleInternational Conference on Intelligent Engineering
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameMota Pinto
person.familyNameGago
person.givenNameFilipe
person.givenNamePedro
person.identifier.orcid0000-0001-7634-0296
person.identifier.orcid0000-0003-3404-9657
relation.isAuthorOfPublication908ef8f4-823a-41fd-8184-287f872b943c
relation.isAuthorOfPublicationda8a69f8-5112-4415-b79b-bc9e2ed28131
relation.isAuthorOfPublication.latestForDiscovery908ef8f4-823a-41fd-8184-287f872b943c

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Ontologies are currently the most prominent computer science research area under development. With this paper we use ontologies at an almost unexplored research area within the marketing discipline, throughout ontological approach to the database marketing. We propose a generic framework supported by ontologies for the knowledge extraction from marketing databases. Therefore this work has two purposes: to integrate ontological approach in Database Marketing and to create domain ontology with a knowledge base that will enhance the entire process at both levels: marketing and knowledge extraction techniques. This research was developed according to two methodological principles, ontology domain double articulation and ontology modularization. At the end of our work we use ontologies to pre-generalize the Database Marketing knowledge through a knowledge base.
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