Title :
Knowledge service model for business process design
Author :
Penicina, Ludmila
Author_Institution :
Dept. of Syst. Theor. & Design, Riga Tech. Univ., Riga, Latvia
Abstract :
Business processes are key corporate assets both generating and requiring knowledge. During business process modeling phase in order to create an accurate and realistic process model a business process analyst requires existing business process knowledge embedded in internal organizational resources such as documentation and other software artifacts as well as in external resources such as legal documents repositories, standards, regulations and business process frameworks. The aim of this research is to design a service model that will identify and extract knowledge related to business processes from existing external and internal sources and store it as ontology enabling extracted knowledge to be represented in a machine readable format. This research is in the initial analysis phase of the first year of the doctoral studies.
Keywords :
business data processing; ontologies (artificial intelligence); software engineering; business process analyst; business process design; internal organizational resources; knowledge service model; machine readable format; ontology; service model; Data mining; Law; Ontologies; Organizations; Standards organizations; business process knowledge; business process ontology; information extraction;
Conference_Titel :
Research Challenges in Information Science (RCIS), 2012 Sixth International Conference on
Conference_Location :
Valencia
Print_ISBN :
978-1-4577-1936-3
Electronic_ISBN :
2151-1349
DOI :
10.1109/RCIS.2012.6240463