dc.creator | Roldán García, María del Mar | es |
dc.creator | García Nieto, José Manuel | es |
dc.creator | Aldana Montes, José F. | es |
dc.date.accessioned | 2021-05-07T08:37:41Z | |
dc.date.available | 2021-05-07T08:37:41Z | |
dc.date.issued | 2017 | |
dc.identifier.citation | Roldán García, M.d.M., García Nieto, J.M. y Aldana Montes, J.F. (2017). Enhancing semantic consistency in anti-fraud rule-based expert systems. Expert Systems with Applications, 90 (December 2017), 332-343. | |
dc.identifier.issn | 0957-4174 | es |
dc.identifier.uri | https://hdl.handle.net/11441/108686 | |
dc.description.abstract | In this study, an ontology-driven approach is proposed for semantic conflict detection and classification inrule-based expert systems. It focuses on the critical case of anti-fraud rule repositories for the inspectionof Card Not Present (CNP) transactions in e-commerce environments. The main motivation is to examineand curate anti-fraud rule datasets to avoid semantic conflicts that could lead the underpinning expertsystem to incorrectly perform, e. g., by accepting fraudulent transactions and/or by discarding harmlessones. The proposed approach is based on Web Ontology Language (OWL) and Semantic Web Rule Lan- guage (SWRL) technologies to develop an anti-fraud rule ontology and reasoning tasks, respectively. Thethree main contributions of this work are: first, the creation of a conceptual knowledge model for de- scribing anti-fraud rules and their relationships; second, the development of semantic rules as conflict- resolution methods for anti-fraud expert systems; third, experimental facts are gathered to evaluate andvalidate the proposed model. A real-world use case in the e-commerce (e-Tourism) industry is used toexplain the ontological knowledge design and its use. The experiments show that ontological approachescan effectively discover and classify conflicts in rule-based expert systems in the field of anti-fraud ap- plications. The proposal is also applicable to other domains where knowledge rule bases are involved. | es |
dc.description.sponsorship | European Union FP7 EU project SME-Ecompass No: 315637 | es |
dc.description.sponsorship | Ministerio de Economía y Competitividad TIN2014-58304 | es |
dc.description.sponsorship | Junta de Andalucía P11-TIC-7529 | es |
dc.description.sponsorship | Junta de Andalucía P12-TIC-1519 | es |
dc.format | application/pdf | es |
dc.format.extent | 12 | es |
dc.language.iso | eng | es |
dc.publisher | Elsevier | es |
dc.relation.ispartof | Expert Systems with Applications, 90 (December 2017), 332-343. | |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Semantic model | es |
dc.subject | Ontology reasoning | es |
dc.subject | Rule-based expert system | es |
dc.subject | Fraud detection expert systems | es |
dc.title | Enhancing semantic consistency in anti-fraud rule-based expert systems | es |
dc.type | info:eu-repo/semantics/article | es |
dcterms.identifier | https://ror.org/03yxnpp24 | |
dc.type.version | info:eu-repo/semantics/submittedVersion | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.contributor.affiliation | Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial | es |
dc.relation.projectID | FP7 EU project SME-Ecompass No: 315637 | es |
dc.relation.projectID | TIN2014-58304 | es |
dc.relation.projectID | P11-TIC-7529 | es |
dc.relation.projectID | P12-TIC-1519 | es |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S0957417417305821 | es |
dc.identifier.doi | 10.1016/j.eswa.2017.08.036 | es |
dc.journaltitle | Expert Systems with Applications | es |
dc.publication.volumen | 90 | es |
dc.publication.issue | December 2017 | es |
dc.publication.initialPage | 332 | es |
dc.publication.endPage | 343 | es |
dc.contributor.funder | European Union (UE) | es |
dc.contributor.funder | Ministerio de Economía y Competitividad (MINECO). España | es |
dc.contributor.funder | Junta de Andalucía | es |