"484373" . "Bro\u017Eov\u00E1, Helena" . "Mathematical Formalization of Knowledge Lifecycle"@en . "41110" . . . "3"^^ . . . . "Mathematical Formalization of Knowledge Lifecycle"@en . . . "Scientia Agriculturae Bohemica" . "Matematick\u00E1 formalizace \u017Eivotn\u00EDho cyklu znalost\u00ED"@cs . "\u0160ubrt, Tom\u00E1\u0161" . "3"^^ . . "Z(MSM6046070904)" . "Mathematical Formalization of Knowledge Lifecycle" . . "24;31" . "The change in the meaning of knowledge has changed the society and economy because knowledge is the only meaningful resource available. Knowledge systems (KS) are important factor of competitive advantage of organisations, because KS help to solve decision problems effectively. While data and information are the prerequisite of knowledge and the basis of Information Systems and Managerial Information Systems, knowledge plays a crucial role in Knowledge Management Systems. In this article we define categories \u201Cdata \u2013 information \u2013 knowledge\u201D, describe the life cycle of knowledge and try to establish qualitative distinctions among these categories using mathematical formalization tools as functions of measurement, measure respectively. Because mathematical models incorporate data, information and also solution of decision problems, they became important part of knowledge systems. So we shall try to apply these categories on a typical example of mathematical model."@en . "[A5A83BB0D300]" . . "Knowledge system, data, information, tacit and explicit knowledge, measure, mathematical model, knowledge map."@en . . "37" . . "The change in the meaning of knowledge has changed the society and economy because knowledge is the only meaningful resource available. Knowledge systems (KS) are important factor of competitive advantage of organisations, because KS help to solve decision problems effectively. While data and information are the prerequisite of knowledge and the basis of Information Systems and Managerial Information Systems, knowledge plays a crucial role in Knowledge Management Systems. In this article we define categories \u201Cdata \u2013 information \u2013 knowledge\u201D, describe the life cycle of knowledge and try to establish qualitative distinctions among these categories using mathematical formalization tools as functions of measurement, measure respectively. Because mathematical models incorporate data, information and also solution of decision problems, they became important part of knowledge systems. So we shall try to apply these categories on a typical example of mathematical model."@cs . . "RIV/60460709:41110/06:17562!RIV07-MSM-41110___" . . "8"^^ . "Havl\u00ED\u010Dek, Jaroslav" . "The change in the meaning of knowledge has changed the society and economy because knowledge is the only meaningful resource available. Knowledge systems (KS) are important factor of competitive advantage of organisations, because KS help to solve decision problems effectively. While data and information are the prerequisite of knowledge and the basis of Information Systems and Managerial Information Systems, knowledge plays a crucial role in Knowledge Management Systems. In this article we define categories \u201Cdata \u2013 information \u2013 knowledge\u201D, describe the life cycle of knowledge and try to establish qualitative distinctions among these categories using mathematical formalization tools as functions of measurement, measure respectively. Because mathematical models incorporate data, information and also solution of decision problems, they became important part of knowledge systems. So we shall try to apply these categories on a typical example of mathematical model." . "CZ - \u010Cesk\u00E1 republika" . "1211-3174" . . . "0" . "RIV/60460709:41110/06:17562" . "Matematick\u00E1 formalizace \u017Eivotn\u00EDho cyklu znalost\u00ED"@cs . . "Mathematical Formalization of Knowledge Lifecycle" . . . . .