Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/17164
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dc.contributor.authorStojanov, Risteen_US
dc.contributor.authorKocev, Ilijaen_US
dc.contributor.authorGramatikov, Sashoen_US
dc.contributor.authorPopovski, Gorjanen_US
dc.contributor.authorKorousic Seljak, Barbaraen_US
dc.contributor.authorEftimov, Tomeen_US
dc.date.accessioned2022-03-29T12:29:09Z-
dc.date.available2022-03-29T12:29:09Z-
dc.date.issued2020-12-10-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/17164-
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.titleToward Robust Food Ontology Mappingen_US
dc.typeArticleen_US
dc.relation.conference2020 IEEE International Conference on Big Data (Big Data)en_US
dc.identifier.doi10.1109/bigdata50022.2020.9378066-
dc.identifier.urlhttp://xplorestaging.ieee.org/ielx7/9377717/9377728/09378066.pdf?arnumber=9378066-
item.fulltextWith Fulltext-
item.grantfulltextopen-
crisitem.author.deptFaculty of Computer Science and Engineering-
crisitem.author.deptFaculty of Computer Science and Engineering-
Appears in Collections:Faculty of Computer Science and Engineering: Conference papers
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