This article is based on an interdisciplinary view of the Knowledge Engineering and Knowledge Management practices in the knowledge processes (creation, organization, formalization, sharing, application and refinement). A literature review of these areas revealed some misunderstanding of the constructs used in interdisciplinary researches and developments, and the necessity of a model for the convergence of involved constructs. So, it is discussed a knowledge model for mapping the use of Knowledge Engineering Computational Agents in Knowledge Management Instruments. By the Ontological Engineering, the technical feasibility of the developed model has been proved in two scenarios, confirming its ability to: organize, formalize and share already established knowledge, and create new knowledge, not established academically, to be applied and/or refined. The model was also verified by domain experts from the involved fields who pointed, among the results: i) a set of questions that guide the understanding of interdisciplinary research objects of the Knowledge Engineering and Knowledge Management; and ii) a form to integrate knowledge units in the design of Agents Computational Engineering Knowledge as technology solutions more adherent to Knowledge Management Instruments.
Knowledge Model; Knowledge engineering computational agents; Knowledge management instruments; Knowledge engineering and management; Artificial intelligence; Ontologies for knowledge engineering and management
