This article describes the research project MAEOS, whose purpose is to model the organizational and strategic development of SMEs. The main objective of this project is to improve the efficiency and performance of business advice given to this kind of companies by establishing a set of methods and software tools for analysis and diagnosis. In order to achieve this, a multi-disciplinary team was created in which two main research areas are represented: artificial intelligence and management science. In this work several key questions of the knowledge engineering field are addressed by the team: how to extract theoretical knowledge (e.g. from scientific works in management science) and practical one (e.g. from consultants); how to formalize it and use it to assist consultants in their daily work.
Gartiser, N., Zanni-Merk, C., Boullosa, L., & Casali, A. (2014). A semantic layered architecture for analysis and diagnosis of SME. In Procedia Computer Science (Vol. 35, pp. 1165–1174). Elsevier B.V. https://doi.org/10.1016/j.procs.2014.08.212