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Scalable Uncertainty-tolerant Business Rules

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Scalable Uncertainty-tolerant Business Rules

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dc.contributor.author Cuzzocrea, Alfredo es_ES
dc.contributor.author Decker, Hendrik es_ES
dc.contributor.author Muñoz-Escoí, Francesc D. es_ES
dc.date.accessioned 2015-05-18T10:37:47Z
dc.date.available 2015-05-18T10:37:47Z
dc.date.issued 2014
dc.identifier.isbn 978-3-319-07616-4
dc.identifier.issn 0302-9743
dc.identifier.uri http://hdl.handle.net/10251/50389
dc.description The final publication is available at Springer via http://dx.doi.org/10.1007/978-3-319-07617-1_16 es_ES
dc.description.abstract Business rules are of key importance for maintaining the correctness of business processes and the reliability of business data. When they take the form of integrity constraints, business rules also can help to contain the amount of uncertainty associated to business data and decisions based on those data. However, business rule enforcement may not scale up easily to systems with concurrent transactions. To a large extent, the problem is due to two common exigencies: the postulates of total and of isolated business rule satisfaction. In order to limit the accumulation of business rule violations, and thus of uncertainty, we are going to outline how a measure-based uncertainty-tolerant approach to business rules maintenance scales up to concurrent transactions. The scale-up is achieved by refraining from the postulates of total and isolated business rule satisfaction. es_ES
dc.description.sponsorship Supported by ERDF/FEDER and the MEC grant TIN2012-37719-C03-01. es_ES
dc.language Inglés es_ES
dc.publisher Springer Verlag (Germany) es_ES
dc.relation.ispartof Hybrid Artificial Intelligence Systems: 9th International Conference, HAIS 2014, Salamanca, Spain, June 11-13, 2014. Proceedings es_ES
dc.relation.ispartofseries Lecture Notes in Computer Science;8480
dc.rights Reserva de todos los derechos es_ES
dc.subject Integrity checking es_ES
dc.subject Isolated integrity es_ES
dc.subject Quality constraints es_ES
dc.subject Uncertainty tolerance es_ES
dc.subject Persistent data es_ES
dc.subject.classification LENGUAJES Y SISTEMAS INFORMATICOS es_ES
dc.title Scalable Uncertainty-tolerant Business Rules es_ES
dc.type Capítulo de libro es_ES
dc.identifier.doi 10.1007/978-3-319-07617-1_16
dc.relation.projectID info:eu-repo/grantAgreement/MINECO//TIN2012-37719-C03-01/ES/SLAP: PAAS PARA LA AUTOMATIZACION DEL CICLO DE VIDA DE LOS SERVICIOS/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Sistemas Informáticos y Computación - Departament de Sistemes Informàtics i Computació es_ES
dc.description.bibliographicCitation Cuzzocrea, A.; Decker, H.; Muñoz-Escoí, FD. (2014). Scalable Uncertainty-tolerant Business Rules. En Hybrid Artificial Intelligence Systems: 9th International Conference, HAIS 2014, Salamanca, Spain, June 11-13, 2014. Proceedings. Springer Verlag (Germany). 179-190. https://doi.org/10.1007/978-3-319-07617-1_16 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://link.springer.com/chapter/10.1007/978-3-319-07617-1_16 es_ES
dc.description.upvformatpinicio 179 es_ES
dc.description.upvformatpfin 190 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.senia 279693
dc.contributor.funder European Regional Development Fund es_ES
dc.contributor.funder Ministerio de Economía y Competitividad es_ES
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