Knowledge Management (KM) consists of a set of concepts, techniques and tools for creating, representing, distributing and evolving knowledge within an organizational context. This knowledge may be about a domain (e.g., cars and the car market for an auto maker), the organization itself (e.g., its current state, objectives, plans, finances), but also about insights and experiences of its members. This knowledge may be explicit in documents or other artifacts, implicit in members of the organization, or embedded in organizational processes or practices. KM is an established discipline since the early '90s [Nonaka94] and is taught in the fields of business administration, information systems, management, and library and information sciences. Models are used in KM to create useful abstractions for purposes of dissemination, communication, analysis and management. We review the history of such models in Information Systems and Computer Science. We then sketch on-going work that proposes new concepts for modelling business objectives, cultural objects and laws. ©2009 John Mylopoulos KSEM’09-- 2Acknowledgements � I am grateful to my colleagues and students whose ideas are represented ( … modelled!) in these slides. � I am particularly grateful to three long-time collaborators and friends: Alex Borgida who showed me the way on a formal grounding for conceptual modelling languages; Nicola Guarino who taught me the basics of ontological analysis; and Joachim Schmidt, who pointed me to a future for Conceptual Modelling. ©2009 John Mylopoulos KSEM’09-- 3“The idea came to me as one switches on a light, one day when by chance there fell into my hands an old dusty diagram, the work of some unknown predecessor of mine. Since a chemist does not think, indeed does not live without models, I idly went about representing them for myself, drawing on paper the long chains of silicon, oxygen, iron and magnesium, with the nickel caught between their links
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