Matematická formalizace životního cyklu znalostí

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41110%2F06%3A17562" target="_blank" >RIV/60460709:41110/06:17562 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Mathematical Formalization of Knowledge Lifecycle

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Mathematical Formalization of Knowledge Lifecycle

Popis výsledku anglicky

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.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

BB - Aplikovaná statistika, operační výzkum

OECD FORD obor

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Projekt

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Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2006

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Scientia Agriculturae Bohemica

ISSN

1211-3174

e-ISSN

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Svazek periodika

37

Číslo periodika v rámci svazku

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Stát vydavatele periodika

CZ - Česká republika

Počet stran výsledku

8

Strana od-do

24-31

Kód UT WoS článku

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EID výsledku v databázi Scopus

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