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Statements

Subject Item
n2:RIV%2F60460709%3A41110%2F06%3A17562%21RIV07-MSM-41110___
rdf:type
skos:Concept n16:Vysledek
dcterms:description
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 “data – information – knowledge”, 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. 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 “data – information – knowledge”, 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. 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 “data – information – knowledge”, 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.
dcterms:title
Mathematical Formalization of Knowledge Lifecycle Matematická formalizace životního cyklu znalostí Mathematical Formalization of Knowledge Lifecycle
skos:prefLabel
Mathematical Formalization of Knowledge Lifecycle Matematická formalizace životního cyklu znalostí Mathematical Formalization of Knowledge Lifecycle
skos:notation
RIV/60460709:41110/06:17562!RIV07-MSM-41110___
n3:strany
24;31
n3:aktivita
n11:Z
n3:aktivity
Z(MSM6046070904)
n3:cisloPeriodika
0
n3:dodaniDat
n9:2007
n3:domaciTvurceVysledku
n10:7046774 n10:7991681 n10:2886812
n3:druhVysledku
n18:J
n3:duvernostUdaju
n6:S
n3:entitaPredkladatele
n17:predkladatel
n3:idSjednocenehoVysledku
484373
n3:idVysledku
RIV/60460709:41110/06:17562
n3:jazykVysledku
n14:eng
n3:klicovaSlova
Knowledge system, data, information, tacit and explicit knowledge, measure, mathematical model, knowledge map.
n3:klicoveSlovo
n8:information n8:measure n8:mathematical%20model n8:Knowledge%20system n8:data n8:knowledge%20map. n8:tacit%20and%20explicit%20knowledge
n3:kodStatuVydavatele
CZ - Česká republika
n3:kontrolniKodProRIV
[A5A83BB0D300]
n3:nazevZdroje
Scientia Agriculturae Bohemica
n3:obor
n12:BB
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
3
n3:rokUplatneniVysledku
n9:2006
n3:svazekPeriodika
37
n3:tvurceVysledku
Brožová, Helena Šubrt, Tomáš Havlíček, Jaroslav
n3:zamer
n13:MSM6046070904
s:issn
1211-3174
s:numberOfPages
8
n5:organizacniJednotka
41110