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25 Desafíos de la Modelación de Procesos Semánticos

dc.contributor.authorMendling, Jan
dc.contributor.authorLeopold, Henrik
dc.contributor.authorPittke, Fabian
dc.description.abstractProcess modeling has become an essential part of many organizations for documenting, analyzing and redesigning their business operations and to support them with suitable information systems. In order to serve this purpose, it is important for process models to be well grounded in for- mal and precise semantics. While behavioural semantics of process models are well understood, there is a considerable gap of research into the semantic aspects of their text labels and natural lan- guage descriptions. The aim of this paper is to make this research gap more transparent. To this end, we clarify the role of textual content in process models and the challenges that are associated with the interpretation, analysis, and improvement of their natural language parts. More specifically, we discuss particular use cases of semantic process modeling to identify 25 challenges. For each cha- llenge, we identify prior research and discuss directions for addressing themes_ES
dc.publisherUnited Academic Journalses_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.subject.otherSystem analysis and designes_ES
dc.subject.otherProcess modelinges_ES
dc.subject.otherFormal semanticses_ES
dc.subject.otherNatural language processinges_ES
dc.title25 Challenges of Semantic Process Modelinges_ES
dc.title25 Desafíos de la Modelación de Procesos Semánticosspa

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