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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

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Okreša, Đ. (2013). Semantičko modeliranje poslovnih pravila (Master's thesis). Varaždin: University of Zagreb, Faculty of Organization and Informatics. 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 30 November 2024, 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 2024 November 30] 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