Abstract
Intelligent systems use applied artificial intelligence techniques with the aim of reaching, in a specific domain, a level of analysis and performance comparable to human experts. Intelligent systems are able to engage in complex inference processes, necessary for evaluating alternative options, presenting high quality conclusions and advice, and to offer explanations about the rationale that led to such conclusions. Knowledge Management is a key process associated to the development of intelligent systems, since it elicits, codifies, validates and relates the knowledge elements that are stored in the system’s Knowledge Base. The paper focus on the issues involved in the design of the THEMIS intelligent system’s Knowledge Base, and of the cooperative and participatory processes applied for knowledge elicitation, referring the usage of ontologies and UML use-cases. THEMIS project purpose is to develop an intelligent system to support complex and stressful Emergency Management activities. The outcome of the described Knowledge Management process can be determinant to quality of the user experience when exploiting the system, since most of the pragmatic and hedonic qualities of the interactions of an intelligent system are closely related with the characteristics of the underlying knowledge base and inferencing process.
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Notes
- 1.
THEMIS is an undergoing R&D project funded by the Portuguese Ministry of Defense.
- 2.
Explicit knowledge is the knowledge that can be expressed in words and numbers and readily shared (for instance as data, scientific formulae, specifications, manuals) between individuals in a formal and systematic way [4].
- 3.
Tacit knowledge is more difficult to transfer since is highly personal and hard to formalize, often resulting from experience [4].
- 4.
Doctrine, Organization, Training, Materiel, Leadership, Personnel, Facilities.
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The work was funded by the Portuguese Ministry of Defense and by the Portuguese Navy.
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Correia, A., Severino, I., Nunes, I.L., Simões-Marques, M. (2018). Knowledge Management in the Development of an Intelligent System to Support Emergency Response. In: Nunes, I. (eds) Advances in Human Factors and Systems Interaction. AHFE 2017. Advances in Intelligent Systems and Computing, vol 592. Springer, Cham. https://doi.org/10.1007/978-3-319-60366-7_11
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