dc.contributor.advisor | Milentijević, Ivan | |
dc.contributor.other | Rančić, Dejan | |
dc.contributor.other | Stoimenov, Leonid | |
dc.contributor.other | Tošić, Milorad | |
dc.contributor.other | Bašić, Milan | |
dc.creator | Arsić, Branko J. | |
dc.date.accessioned | 2021-03-23T10:02:20Z | |
dc.date.available | 2021-03-23T10:02:20Z | |
dc.date.issued | 2020-10-12 | |
dc.identifier.uri | http://eteze.ni.ac.rs/application/showtheses?thesesId=7961 | |
dc.identifier.uri | https://fedorani.ni.ac.rs/fedora/get/o:1679/bdef:Content/download | |
dc.identifier.uri | http://vbs.rs/scripts/cobiss?command=DISPLAY&base=70052&RID=25058825 | |
dc.identifier.uri | https://nardus.mpn.gov.rs/handle/123456789/18141 | |
dc.description | This dissertation is about the SpecINT (Spectral Integration), a scalable
software platform, which benefits from the Semantic Web and from the
results of spectral graph theory for data integration and exploring semanticbased
repositories. In order to save time and resources, institutions are in need
of a comprehensive overview of relevant and most recently published data
globally. According to statistics, only one substance out of thousands satisfies
the preclinical and clinical tests’ criteria and can be used as a medicament.
Laboratory conditions require a lot of time and resources to test the effect of
large number of substances, and that is why application of in silico models is
found necessary. The methodology applied to achieve this goal is based on
the coordinates of graph eigenvectors used for automatic join of sub-queries
in Federated SPARQL query out of which only the most relevant data sources
within repositories are taken into consideration. Such an approach enables
reduction of number of duplicates in the results obtained, but also provides
useful results for the researchers. In this way the integration of repositories
can be effected without a common ontology between them, leaving an
impression there exists a searchable central and virtual storage. The platform
is developed in collaboration with the Laboratory for Cell and Molecular
Biology of the Faculty of Science, University of Kragujevac. However, the
methodology can be applied more broadly, since it is based on the „Open
Data” standards and concepts. | en |
dc.format | application/pdf | |
dc.language | sr | |
dc.publisher | Универзитет у Нишу, Електронски факултет | sr |
dc.relation | info:eu-repo/grantAgreement/MESTD/Integrated and Interdisciplinary Research (IIR or III)/41010/RS// | |
dc.relation | info:eu-repo/grantAgreement/MESTD/Integrated and Interdisciplinary Research (IIR or III)/44006/RS// | |
dc.relation | info:eu-repo/grantAgreement/MESTD/Basic Research (BR or ON)/174033/RS// | |
dc.rights | openAccess | en |
dc.rights.uri | https://creativecommons.org/licenses/by-nc/4.0/ | |
dc.source | Универзитет у Нишу | sr |
dc.subject | Integracija repozitorijuma | sr |
dc.subject | Data integration | en |
dc.subject | Semantički Veb | sr |
dc.subject | softverska platforma | sr |
dc.subject | spektralna klasterizacija | sr |
dc.subject | teorija grafova | sr |
dc.subject | Semantic Web | en |
dc.subject | software platform | en |
dc.subject | spectral clustering | en |
dc.subject | graph theory | en |
dc.title | Skalabilna softverska platforma za pretraživanje hemijskih i bioloških repozitorijuma | sr |
dc.type | PhD thesis | |
dc.rights.license | BY-NC | |
dcterms.abstract | Милентијевић, Иван; Башић, Милан; Тошић, Милорад; Стоименов, Леонид; Ранчић, Дејан; Aрсић, Бранко Ј.; Скалабилна софтверска платформа за претраживање хемијских и биолошких репозиторијума; Скалабилна софтверска платформа за претраживање хемијских и биолошких репозиторијума; | |
dc.identifier.fulltext | https://nardus.mpn.gov.rs/bitstream/id/70340/Disertacija.pdf | |
dc.identifier.fulltext | https://nardus.mpn.gov.rs/bitstream/id/70341/Arsic_Branko_J.pdf | |
dc.identifier.rcub | https://hdl.handle.net/21.15107/rcub_nardus_18141 | |