Enfoque para la gestión de procesos de negocio semánticos utilizando ontologías

Current market opportunities and the growth of Information and communication technologies encourage organizations to establish collaborative networks. The collaborative networks consist of relationships between companies during a period of time to achieve common business goals, implying a process-or...

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Autores:
Tello-Leal, Edgar
Carreón, Jorge Alejandro
Lucio Castillo, Mariby
Tipo de recurso:
Fecha de publicación:
2013
Institución:
Universidad de San Buenaventura
Repositorio:
Repositorio USB
Idioma:
spa
OAI Identifier:
oai:bibliotecadigital.usb.edu.co:10819/6450
Acceso en línea:
http://hdl.handle.net/10819/6450
Palabra clave:
BPMN
Gestión de procesos de negocio
Proceso de negocio
Servicios Web Semánticos
WSMO
Business process
Business Process Management
Semantic Web Services
Optimización de procesos
Rights
License
Atribución-NoComercial-SinDerivadas 2.5 Colombia
Description
Summary:Current market opportunities and the growth of Information and communication technologies encourage organizations to establish collaborative networks. The collaborative networks consist of relationships between companies during a period of time to achieve common business goals, implying a process-oriented integration between heterogeneous and autonomous companies, which must be achieved both for a business perspective and for an implementation perspective. Semantic business process management is an approach to increase the level of automation through the use of semantic technologies (like ontologies) and Web services, which allows facing some current challenges of the Business Process Management, such as service discovery, process reuse, and analysis of executed processes. In this paper we present the design and implementation of a business process model, which is modeled using the BPMN language and semantically annotated with concepts of the BPMO ontology, enabling semantic-based discovery, process fragments, and reuse of existing process artifacts, as well as queries on instances of the process model produced using automated reasoning.