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master's thesis
Tokovi povezanih otvorenih podataka
Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. urn:nbn:hr:168:607019
Medvedec, Ivan
University of Zagreb
Faculty of Electrical Engineering and Computing

Institutional repository: FER Repository

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Medvedec, I. (2020). Tokovi povezanih otvorenih podataka (Master's thesis). Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing. Retrieved from https://urn.nsk.hr/urn:nbn:hr:168:607019

Medvedec, Ivan. "Tokovi povezanih otvorenih podataka." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:607019

Medvedec, Ivan. "Tokovi povezanih otvorenih podataka." Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, 2020. https://urn.nsk.hr/urn:nbn:hr:168:607019

Medvedec, I. (2020). 'Tokovi povezanih otvorenih podataka', Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, accessed 26 December 2024, https://urn.nsk.hr/urn:nbn:hr:168:607019

Medvedec I. Tokovi povezanih otvorenih podataka [Master's thesis]. Zagreb: University of Zagreb, Faculty of Electrical Engineering and Computing; 2020 [cited 2024 December 26] Available at: https://urn.nsk.hr/urn:nbn:hr:168:607019

I. Medvedec, "Tokovi povezanih otvorenih podataka", Master's thesis, University of Zagreb, Faculty of Electrical Engineering and Computing, Zagreb, 2020. Available at: https://urn.nsk.hr/urn:nbn:hr:168:607019

Metadata
TitleTokovi povezanih otvorenih podataka
Title (english)Linked Open Data Streams
AuthorIvan Medvedec
MentorIgor Čavrak (mentor)
Committee memberIgor Čavrak (predsjednik povjerenstva)
Committee memberDanko Basch (član povjerenstva)
Committee memberIvana Bosnić (član povjerenstva)
GranterUniversity of Zagreb
Faculty of Electrical Engineering and Computing
Zagreb
Defense date and country2020-07-07, Croatia
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Abstract
U sklopu diplomskog rada proučena je terminologija povezanih i otvorenih tokova podataka. Uz pomoć proučenih standarda i tehnologija implementiran je prototip sustava za povezivanje otvorenih tokova RDF podataka. Sustav je implementiran nad Apache Kafka platformom. Povezivanjem otvorenih podataka bliskih domena ostvaruje se uvid u novi skup informacija. Algoritam povezivanja podataka razvijen je kao skup pravila u RDF standardu koja definiraju način povezivanja različitih tokova domenskih podataka. Implementirani sustav sadrži svojstvo dinamičke promijene kojim je sustav otporan na promjenu izvornih podataka i promjenu pravila povezivanja tijekom svojeg izvođenja. Sustav je implementiran kao raspodijeljeni sustav čime su zadovoljena svojstva skalabilnosti i robusnosti.
Abstract (english)
This thesis examined the terminology related to linked and open data streams. The examined terminology with its standards represented the basis for developing a prototype system for linking open RDF data streams. The system is developed using the Apache Kafka platform. Linking data in related domains gives insight to undiscovered sets of information. The linkage algorithm is developed as a set of rules in RDF standard which define the linkage configuration of arbitrary data streams. The implemented system contains the feature of dynamic change with whom the system is resilient to change in data sources and change in linage rules while in runtime. The system architecture represents a distributed system which satisfies features of scalability and robustness.
Keywords
Keywords (english)
Languagecroatian
URN:NBNurn:nbn:hr:168:607019
Study programmeTitle: Computing
Study programme type: university
Study level: graduate
Academic / professional title: magistar/magistra inženjer/inženjerka računarstva (magistar/magistra inženjer/inženjerka računarstva)
Type of resourceText
File originBorn digital
Access conditionsClosed access
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Created on2023-01-13 13:06:28