Mathematical Formalization of Knowledge Lifecycle

Result code in 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>

Result on the web

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DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Mathematical Formalization of Knowledge Lifecycle

Original language 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.

Czech name

Matematická formalizace životního cyklu znalostí

Czech 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.

Type

J_x - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

CEP classification

BB - Applied statistics, operational research

OECD FORD branch

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Project

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Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2006

Confidentiality

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

Name of the periodical

Scientia Agriculturae Bohemica

ISSN

1211-3174

e-ISSN

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Volume of the periodical

37

Issue of the periodical within the volume

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Country of publishing house

CZ - CZECH REPUBLIC

Number of pages

8

Pages from-to

24-31

UT code for WoS article

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EID of the result in the Scopus database

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