- Title
- Smart knowledge management system
- Creator
- Sanín, César Augusto Maldonado
- Relation
- University of Newcastle Research Higher Degree Thesis
- Resource Type
- thesis
- Date
- 2007
- Description
- Research Doctorate - Doctor of Philosophy (PhD)
- Description
- Capturing the experience of every decision made in explicit representation form is highlighted as the major significance of this research. Experience has made species to survive and cultures to prevail, as experience makes organizations to succeed. Developing a thinking hybrid knowledge management system which would support decision making through gaining knowledge by experiencing from the day-to-day operation accomplishes such task. The Smart Knowledge Management System (SKMS) is a multi-technology (hybrid) knowledge-based decision support system, an integrated tool of rule-based systems, expert systems, numerical models, self-learning, and intelligent knowledge management technology developed to help managers in the decision-making process. The SKMS, by following five fundamentals (model, enaction, autopoiesis, atomicity and multidisciplinarity), takes information and sends it through four macro-processes: Diagnosis, Prognosis, Solution, and Knowledge, in order to transform information into knowledge. Furthermore, the SKMS allows building the fingerprints (i.e., the Decisional DNA) of an organization by implementing a model for transforming information into knowledge. Moreover, the SKMS can collect experience in any field as a non-domain-dependent technology for decision-making. It supports knowledge creation and independent decisions in the way expected by decision-makers and organizations. Additionally, different technologies applied in the Platform offer dissimilar perspectives producing this holistic hybrid SKMS. Technologies such as expert systems, simulation and statistical tools, knowledge-based systems, and multiple AI technologies are integrated into the SKMS allowing the combination of different perspectives for acquiring the required explicit experiential knowledge. Once the experience is acquired, technologies such as data mining and rule-based systems allow analysis and knowledge discovery within the stored knowledge while permitting extending even more holistic perspectives of the Platform. In addition, the SKMS can be integrated into a community of practice regarded the e-decisional community, where decisional experiential knowledge can be shared and distributed among different technologies. This attribute is achieved by implementing an Ontology for experiential knowledge. Finally, the Platform liberates decision makers from some simple tasks, allowing them to concentrate on other more complicated matters related to strategic dimensions of organizations, while storing decisional experience in the form of Decisional DNA.
- Subject
- management systems; smart knowledge management system; support systems
- Identifier
- http://hdl.handle.net/1959.13/1312395
- Identifier
- uon:22380
- Rights
- Copyright 2007 César Augusto Maldonado Sanín
- Language
- eng
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