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dc.contributor.editorPolyvyanyy, Artemes
dc.creatorPérez Álvarez, José Migueles
dc.creatorCancela Díaz, Antonioes
dc.creatorParody Núñez, María Luisaes
dc.creatorReina Quintero, Antonia Maríaes
dc.creatorGómez López, María Teresaes
dc.date.accessioned2022-12-07T10:47:07Z
dc.date.available2022-12-07T10:47:07Z
dc.date.issued2022
dc.identifier.citationPérez Álvarez, J.M., Cancela Díaz, A.,...,Gómez López, M.T. (2022). Process Instance Query Language and the Process Querying Framework. En A. Polyvyanyy (Ed.), Process Querying Methods (pp. 85-111). Cham, Switzerland: Springer.
dc.identifier.isbn978-3-030-92874-2es
dc.identifier.urihttps://hdl.handle.net/11441/140200
dc.description.abstractThe use of Business Process Management Systems (BPMSs) allows com panies to manage the data that flows through process models (business instances) and to monitor all the information and actions concerning a process execution. In general, the retrieval of this information is used not only to measure whether the pro cess works as expected but also to enable assistance in future process improvements by means of a postmortem analysis. This chapter shows how the measures extracted from the process instances can be employed to adapt business process executions according to other instances or other processes, thereby facilitating the adjustment of the process behavior at run-time to the organization needs. A language, named Process Instance Query Language (PIQL), is introduced. This language allows business users to query the process instance measures at run-time. These measures may be used both inside and outside the business processes. As a consequence, PIQL might be used in various scenarios, such as in the enrichment of the information used in Decision Model and Notation tables, in the determination of the most suitable business process to execute at run-time, and in the query of the instance measures from a dashboard. Finally, an example is introduced to demonstrate PIQL.es
dc.description.sponsorshipJunta de Andalucía P20-01224 (COPERNICA)es
dc.description.sponsorshipJunta de Andalucía US-1381375 (METAMORFOSIS)es
dc.formatapplication/pdfes
dc.format.extent27es
dc.language.isoenges
dc.publisherSpringeres
dc.relation.ispartofProcess Querying Methodses
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.titleProcess Instance Query Language and the Process Querying Frameworkes
dc.typeinfo:eu-repo/semantics/bookPartes
dcterms.identifierhttps://ror.org/03yxnpp24
dc.type.versioninfo:eu-repo/semantics/submittedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Lenguajes y Sistemas Informáticoses
dc.relation.projectIDP20-01224 (COPERNICA)es
dc.relation.projectIDUS-1381375 (METAMORFOSIS)es
dc.relation.publisherversionhttps://link.springer.com/chapter/10.1007/978-3-030-92875-9_4es
dc.identifier.doi10.1007/978-3-030-92875-9_4es
dc.contributor.groupUniversidad de Sevilla. TIC-258: Data-centric Computing Research Hubes
dc.publication.initialPage85es
dc.publication.endPage111es
dc.relation.publicationplaceCham, Switzerlandes
dc.contributor.funderJunta de Andalucíaes

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