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master's thesis
Semantičko modeliranje poslovnih pravila
2013. urn:nbn:hr:211:313811
Okreša, Đurić
University of Zagreb
Faculty of Organization and Informatics
Department of Theoretical and Applied Foundations of Information Sciences

Cite this document

Okreša, Đ. (2013). Semantičko modeliranje poslovnih pravila (Master's thesis). Retrieved from https://urn.nsk.hr/urn:nbn:hr:211:313811

Okreša, Đurić. "Semantičko modeliranje poslovnih pravila." Master's thesis, University of Zagreb, Faculty of Organization and Informatics, 2013. https://urn.nsk.hr/urn:nbn:hr:211:313811

Okreša, Đurić. "Semantičko modeliranje poslovnih pravila." Master's thesis, University of Zagreb, Faculty of Organization and Informatics, 2013. https://urn.nsk.hr/urn:nbn:hr:211:313811

Okreša, Đ. (2013). 'Semantičko modeliranje poslovnih pravila', Master's thesis, University of Zagreb, Faculty of Organization and Informatics, accessed 06 May 2021, https://urn.nsk.hr/urn:nbn:hr:211:313811

Okreša Đ. Semantičko modeliranje poslovnih pravila [Master's thesis]. Varaždin: University of Zagreb, Faculty of Organization and Informatics; 2013 [cited 2021 May 06] Available at: https://urn.nsk.hr/urn:nbn:hr:211:313811

Đ. Okreša, "Semantičko modeliranje poslovnih pravila", Master's thesis, University of Zagreb, Faculty of Organization and Informatics, Varaždin, 2013. Available at: https://urn.nsk.hr/urn:nbn:hr:211:313811

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Metadata
TitleSemantičko modeliranje poslovnih pravila
Title (english)Semantic Modeling of Business Rules
AuthorĐurić Okreša
MentorMarkus Schatten (mentor)
MBZ: 291806
Committee memberSandra Lovrenčić
MBZ: 229934
GranterUniversity of Zagreb
Faculty of Organization and Informatics
(Department of Theoretical and Applied Foundations of Information Sciences)
Varaždin
Defense date and country2013-06-24, Croatia
Scientific / art field,
discipline and subdiscipline		SOCIAL SCIENCES
Information and Communication Sciences
Organization and Informatics
Abstract
Rad prikazuje mogućnost semantičkog modeliranja poslovnih pravila, temelja poslovnih sustava. Ontologija u suradnji s pravilima omogućava drugačiji pristup poslovnim aplikacijama. Korišteni standardi RuleSpeak, OWL, SWRL, RIF, UML, OCL i ORM osiguravaju ažurnost proučavane teme.
Keywords
Languagecroatian
URN:NBNurn:nbn:hr:211:313811
Study programmeTitle: Database and Knowledge Base Studies
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra informatike (magistar/magistra informatike)
Type of resourceText
File originBorn digital
Access conditionsAccess restricted to students and staff of home institution
Terms of useLicence Attribution-NonCommercial-NoDerivs 3.0 Unported (CC BY-NC-ND 3.0) icon
Created on2017-01-25 13:54:58