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Title:Hibridna metoda gradnje sistemov za upravljanje z znanjem s področja procesa varjenja
Authors:ID Stropnik, Ambrož (Author)
ID Zorman, Milan (Mentor) More about this mentor... New window
ID Vuherer, Tomaž (Comentor)
Files:.pdf DOK_Stropnik_Ambroz_2017.pdf (4,24 MB)
MD5: 21887DE3D5D4E4412C5D5E9606875049
 
Language:Slovenian
Work type:Dissertation
Typology:2.08 - Doctoral Dissertation
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:Globalne spremembe na trgih in hiter tehnološki razvoj sta dva pomembna dejavnika, ki generalno vplivata na uspešnost podjetij. Uspešna podjetja so spoznala, da je za ustrezen odziv na spremembe trga ali tehnološki razvoj ključno znanje zaposlenih v podjetju in uvedba procesa upravljanja z znanjem v poslovne procese podjetja. Še več, najbolj uspešna in prilagodljiva podjetja gredo še korak dlje in se povezujejo z drugimi podjetji ter si med seboj izmenjujejo znanje in izkušnje. Ustrezna informacijska podpora in uporaba sistema za upravljanje z znanjem je v takšnih podjetjih ključnega pomena. Implementacija sistema za upravljanje z znanjem v podjetju je vse prej kot lahka naloga, saj se od takšnega sistema pričakuje ne le, da je sposoben podpreti osnovne procese upravljanja z znanjem, ampak tudi, da je sposoben povezovanja teoretičnega znanja s praktičnimi izkušnjami zaposlenih. Zapisano znanje pa je sposoben deliti s sistemi za upravljanje z znanjem z drugimi podjetji. V disertaciji predstavljamo hibridni pristop gradnje sistema za upravljanje z znanjem iz področja varjenja. Področje varjenja predstavlja eno izmed področij, ki je s strani standardov zelo dobro pokrito in posledično primerno za ponazoritev uporabe takšnega sistema upravljanja z znanjem. Razvili smo sistem upravljanja z znanjem za področje varjenja, ki temelji na sodobnih IT tehnologijah za upravljanjem z znanjem – semantičnem spletu. Bistveni del razvitega sistema pa predstavlja način zajemanja znanja s pomočjo principa strojnega učenja, ki je sposoben povezovanja teoretičnega znanja s praktičnimi izkušnjami. V okviru disertacije skozi preizkuse pokažemo in potrdimo, da je za uspešnost sistema za upravljanje z znanjem ključnega pomena uporaba tehnologij semantičnega spleta, kar dodatno nadgradi uporaba pristopa strojnega učenja v segmentu iskanja novega znanja.
Keywords:upravljanje z znanjem, spletna ontologija, varjenje, optimizacija varjenja
Place of publishing:Maribor
Publisher:[A. Stropnik]
Year of publishing:2017
PID:20.500.12556/DKUM-66098 New window
UDC:[004.8:004.774.2]:621.791(043.3)
COBISS.SI-ID:20654614 New window
NUK URN:URN:SI:UM:DK:SBZ1JASM
Publication date in DKUM:26.06.2017
Views:1932
Downloads:220
Metadata:XML DC-XML DC-RDF
Categories:KTFMB - FERI
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Secondary language

Language:English
Title:Hybrid method of constructing knowledge management systems in field of welding process
Abstract:Global changes on markets and rapid technological development are two important factors that influence companies. Successful companies realized that knowledge of employees and usage of knowledge management processes in a company is crucial for an appropriate response to changes on markets or technological development. Furthermore, the most successful and flexible companies go one step further and connect with other companies with the intention of exchanging knowledge and practical know-how. Appropriate IT support and usage of knowledge management system is crucial in such companies. The implementation of knowledge management system in a company is not an easy task. It is expected that the system supports the basic knowledge management processes, but also that it is capable of linking theoretical knowledge with practical experiences, so that all knowledge can be shared with the knowledge management systems of other companies. In dissertation, we present a hybrid method of constructing knowledge management system in field of welding process. Welding process area is one of the areas that is well covered with standards and, it is appropriate to illustrate the usage of such a knowledge management system. We have developed a knowledge management system in the field of welding process that is based on modern IT technologies for knowledge management support – the Semantic Web. An essential part of the developed system represents a way of knowledge acquisition through the principle of machine learning that is capable of linking theoretical knowledge with practical experience. In dissertation, we present and also confirm through the experiments that for the success of the knowledge management system using Semantic Web technologies is crucial and the application of machine learning approach in the search for new knowledge can successfully upgrade the whole system.
Keywords:knowledge management, web ontology, welding, welding optimization


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