Please use this identifier to cite or link to this item: http://hdl.handle.net/20.500.12188/19765
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dc.contributor.authorZdraveski, Vladimiren_US
dc.contributor.authorTrajanov, Dimitaren_US
dc.contributor.authorStojanov, Risteen_US
dc.contributor.authorStojanova, Slobodankaen_US
dc.contributor.authorJovanovik, Milosen_US
dc.date.accessioned2022-06-28T08:10:55Z-
dc.date.available2022-06-28T08:10:55Z-
dc.date.issued2017-
dc.identifier.urihttp://hdl.handle.net/20.500.12188/19765-
dc.description.abstractThe semantic web technologies are widely accepted for annotation and publishing general knowledge and open data that should be accessible for anyone. However, the adoption of the semantic web in the enterprises is not that common, even though these technologies and standards solve one of the most profound challenges: data integration and alignment of multiple systems. The main obstacle for the enterprise semantic web are the firm security requirements in the Corporations. Even though multiple initiatives work on solving this problem, there is no clear path for deciding which approach or system is most suitable for a given security requirements. This paper proposes an evaluation and context dependent ranking that is based on linear combination of the access control aspects’ numerical indicators.en_US
dc.relation.ispartofSemantic Weben_US
dc.subjectAuthorization ranking, Authorization aspects, Policy formalization, Access control, Semantic weben_US
dc.titleRanking semantic web authorization systemsen_US
dc.typeJournal Articleen_US
item.grantfulltextopen-
item.fulltextWith Fulltext-
crisitem.author.deptFaculty of Computer Science and Engineering-
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: Journal Articles
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