USING UML FOR MODELING BUSINESS PROCESSES IN AN INFORMATION AND KNOWLEDGE INTEGRATION DOMAIN

In this paper, we present the graphical representation of the business modeling project developed for a Brazilian National Land Transportation Agency. We describe briefly an Information Asset identification, Knowledge identification and mapping, information life cycle completion and process description as part of the adopted methodology. We shows the adopted graphical representation and highlights some emerged challenges and how they have been handled. We discuss the advantages of the integrated information – knowledge graphical representation as a tool for business organization management. We argue about the need for an extension of the Unified Modeling Language(UML) towards the creation of business models that systematically Integrates knowledge and information description. Finally, we introduce new ideas on how to facilitate the building and the maintenance of the graphical representation of the models.DOI: 10.36558/rsc.v11i2.734

Developing IT Systems to Leverage Information and Knowledge Management

Abstract. Information and knowledge management are fundamental components for helping organizations in efficiently acquiring, storing and utilizing knowledge for problem solving, dynamic learning, strategic planning and decision making. In a previous work we presented the Information and Knowledge Management Framework (MGIC), a methodology for building a model to serve as basis for the implementation of integrated information and knowledge systems that support business intelligence in public organizations. The first step of this methodology consists on building an integrated model, based in well-known modeling techniques, such as Business Use Case models and class models, which focus on the representation of the main business requirements and services provided by the organization. In this paper we discuss how such model is used to guide the requirements specification and development of new IT systems or the evolution of legacy systems