ONTOLOGY FOR E-BUSINESS
DOI:
https://doi.org/10.47820/recima21.v4i6.3380Keywords:
E-BusinessAbstract
With the growth of online commerce and financial operations conducted within this context, there is also an increased demand for more efficient E-Commerce systems, particularly in terms of implementing search systems, recommendations, cross-selling, and other applications. The use of specific vocabularies by these platforms has helped improve and make searches and recommendations within these systems more efficient because they provide greater context to the research, reducing the time and effort expended in these activities. This article aims to describe the process of creating an ontology for E-Business, based on the model developed by the ACTIVE project established by the ESPRIT Programme (Framework IV) and the proposal of the web architecture "ETE MONITOR ARCHITECTURE." The research used Design Science Research as the methodology for developing an artifact. In the literature review, thirteen articles were found in queries performed in the databases SciElo, IEEE, and OUCI, using the Web of Science (WoS) database as the indexing parameter. After a thorough analysis, only seven articles were selected to compose the final work. Additionally, six more texts, including theses and books considered relevant to the research, were added to the study. The main result obtained in this research was an ontology containing twenty-two classes and dozens of subclasses, properties, and relationships that were modeled using the OWL, XML, and RDF languages.
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ALAA, Rana; GAWISH, Mariam; FERNÁNDEZ-VEIGA, Manuel. Improving Recommendations for Online Retail Markets Based on Ontology Evolution. Electronics. Cairo, p. 1-19. 11 jul. 2021. Disponível em: https://www.mdpi.com/2079-9292/10/14/1650. Acesso em: 07 jun. 2022.
BAUER, João Roberto de Freitas; Machado, Elvis Luiz Siuch Machado; GONÇALVES, Diéssica Vaz; FREITAS, Tiele Aparecida Pinto de. Influência da Pandemia no E-Commerce Internacional. Revista da Amostra de Iniciação Científica, RMIC. Vol. 6, n. 1, 2020. Disponível em: https://www.ulbracds.com.br/index.php/rmic/article/view/3034. Acesso em: 04 jun. 2022.
BOTELHO, Louise Lira Roedel; CUNHA, Cristiano Castro de Almeida; MACEDO, Marcelo. O método da revisão integrativa nos estudos organizacionais. Revista Eletrônica Gestão e Sociedade, Belo Horizonte, v.5, n.11, p. 121-136, maio/ago. 2011. Disponível em: https://www.gestaoesociedade.org/gestaoesociedade/article/view/1220/906. Acesso em: 04 jun. 2022.
CARO-MARTÍNEZ, Marta; JIMÉNEZ-DÍAZ, Guillermo; RECIO-GARCÍA, Juan A. Conceptual Modeling of Explainable Recommender Systems: an ontological formalization to guide their design and development. Jair: Journal of Artificial Intelligence Research. El Segundo, v.71, n.2021, p. 557-589. 24 jul. 2021. Disponível em: https://www.jair.org/index.php/jair/article/view/12789/26699. Acesso em: 03 jul. 2022.
CHAVES-FRAGA, David; RUCKHAUS, Edna; PRIYATNA, Freddy; VIDAL, Maria-Esther; CORCHO, Oscar. Enhancing virtual ontology based access over tabular data with Morph-CSV. Semantic Web. [S.L.], v. 12, n. 6, p. 869-902, 4 out. 2021. IOS Press. Disponível em: http://dx.doi.org/10.3233/sw-210432. Acesso em: 03 jun. 2022.
EIS, Diego. Introdução à Web Semântica: A Inteligência da Informação. Casa do Código. São Paulo: SP, 2018.
ELVESEATER et al. EBG - euBusinessGraph Ontology. Linked Open Vocabularies. 2013. Disponível em: https://lov.linkeddata.es/dataset/lov/vocabs/ebg. Acesso em: 04 jun. 2022.
GUIA, Márcio; SILVA, Rodrigo Rocha; BERNARDINO, Jorge. A Hybrid Ontology-Based Recommendation System in e-Commerce. Algorithms. Coimbra, p. 1-19. 08 nov. 2019. Disponível em: https://www.mdpi.com/1999-4893/12/11/239. Acesso em: 07 jun. 2022.
HERNANDEZ, Julio; MARIN-CASTRO, Heidy M.; MORALES-SANDOVAL, Miguel. WebQuIn-LD: a method of integrating web query interfaces based on linked data. Ieee Access, [S.L.], v. 9, p. 115664-115675, 2021. Institute of Electrical and Electronics Engineers (IEEE). Disponível em: http://dx.doi.org/10.1109/access.2021.3104524. Acesso em: 04 jun. 2022.
LAPAZ, Ariel I; RAMAPRASAD, Arkalgud; SYN, Thant; VASQUEZ, Jonathan. Editorial: An ontology of e-commerce - mapping a relevant corpus of knowledge. Journal Of Theoretical And Applied Electronic Commerce Research, [S.L.], v. 10, n. 2, p. 0, maio 2015. MDPI AG. Disponível em: http://dx.doi.org/10.4067/s0718-18762015000200001. Acesso em: 03 jun. 2022.
STANFORD. Protégé. Disponível em: https://protege.stanford.edu/about.php. Acesso em: 04 jun. 2022.
SILVA, Nildo Carlos da. E-COMMERCE: UM MODELO PARA UTILIZAR A INFORMAÇÃO COMO UM PRODUTO COMERCIAL. Tese de Doutorado desenvolvida para o programa de pós-graduação PPEP da UFSC. Florianópolis: 2004.
SORDI, José Osvaldo de; AZEVEDO, Marcia Carvalho de; MEIRELES, Manuel. A Pesquisa Design Science no Brasil Segundo as Publicações em Administração da Informação. JISTEM - Journal of Information Systems and Technology Management
Revista de Gestão da Tecnologia e Sistemas de Informação. v. 12, n. 1, p.165-186, jan/apr., 2015.
WIKIDATA. Disponível em: https://www.wikidata.org/wiki/Wikidata:Main_Page. Acesso em: 04 jun. 2022.
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