Framework for Knowledge Management Based in the Two-Stream Hypothesis

Abstract : Information Systems are vital to all kind of business and research activities. In the last years the need for reliable information on time is becoming a differentiating factor for the results of the computer based activities. It is known that data makes possible information then knowledge and, eventually, will result some wisdom. However, much prior to the expected characteristics of such data and its usefulness, would be important to actually find it. On the Internet, search Engines are the key element to make relevant information available to a certain user. By learning about the human’s search capabilities it should be possible to information systems, by enlarging the characteristics of source information towards human perceptive and cognitive functions. This paper describes the application of a research method to explore the development of a framework for knowledge management based on lessons learned from a neuroscience model known as the Two-Stream Hypothesis.
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Luis M. Camarinha-Matos; Ehsan Shahamatnia; Gonçalo Nunes. 3rd Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Feb 2012, Costa de Caparica, Portugal. Springer, IFIP Advances in Information and Communication Technology, AICT-372, pp.69-76, 2012, Technological Innovation for Value Creation. 〈10.1007/978-3-642-28255-3_8〉
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Fernando Ferreira, Ricardo Jardim-Goncalves. Framework for Knowledge Management Based in the Two-Stream Hypothesis. Luis M. Camarinha-Matos; Ehsan Shahamatnia; Gonçalo Nunes. 3rd Doctoral Conference on Computing, Electrical and Industrial Systems (DoCEIS), Feb 2012, Costa de Caparica, Portugal. Springer, IFIP Advances in Information and Communication Technology, AICT-372, pp.69-76, 2012, Technological Innovation for Value Creation. 〈10.1007/978-3-642-28255-3_8〉. 〈hal-01365569〉

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