Examinando por Materia "GESTION DEL CONOCIMIENTO"
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Tesis de maestríaEstudio sobre gestión del conocimiento en empresas argentinas 2018-2021(2021) Muzzio, Cristian Rodrigo; Sangronis, Angélica"El objetivo de la presente tesis es explorar el estado de aplicación de las distintas tecnologías y estrategias para la gestión del conocimiento, e identificar las dificultades que acaecen en las empresas argentinas con uso intensivo del conocimiento al momento de capturar, retener, transferir y aplicar dicho conocimiento." Ponencia en CongresoModeling industrial business processes for querying and retrieving using OWL+SWRL(2018) Roy, Suman; Silvatici Dayan, Gabriel; Devaraja Holla, V."Process modeling forms a core activity in many organizations in which different entities and stakeholders interact for smooth operation and management of enterprises. There have been few work on semantically labeling business processes using OWL-DL that formalize business process structure and query them. However, all these methods suffer from few limitations such as lack of a modular approach of ontology design, no guarantee of a consistent ontology development with TBox and ABox axioms and no provision of combining control flow relations of the main process and its sub-processes. In this work, we propose an approach for labeling and specifying business processes by using hybrid programs which offers modular ontology design, consistent ontology design of each module and unified control flow for process and its sub-processes. This formalism of hybrid programs integrates ontology specified in OWL-DL with SWRL (Semantic Web Rules Language) rules. Further we report on our experimental effort on modeling industrial business processes with this hybrid formalism. We also present a case study of an industrial business process to illustrate our modeling approach which can aid in business knowledge management." Ponencia en CongresoRequirements elicitation in data mining for business intelligence projects(2008) Britos, Paola Verónica; Dieste, Oscar; García Martínez, Ramón"There are data mining methodologies for business intelligence (DM-BI) projects that highlight the importance of planning an ordered, documented, consistent and traceable requirement’s elicitation throughout the entire project. However, the classical software engineering approach is not completely suitable for DM-BI projects because it neglects the requirements specification aspects of projects. This article focuses on identifying concepts for understand DM-BI project domain from DM-BI field experience, including how requirements can be educed by a proposed DM-BI project requirements elicitation process and how they can be documented by a template set."