Title
Skalabilna softverska platforma za pretraživanje hemijskih i bioloških repozitorijuma
Creator
Arsić, Branko J. 1984-
Copyright date
2020
Object Links
Select license
Autorstvo-Nekomercijalno 3.0 Srbija (CC BY-NC 3.0)
License description
Dozvoljavate umnožavanje, distribuciju i javno saopštavanje dela, i prerade, ako se navede ime autora na način odredjen od strane autora ili davaoca licence. Ova licenca ne dozvoljava komercijalnu upotrebu dela. Osnovni opis Licence: http://creativecommons.org/licenses/by-nc/3.0/rs/deed.sr_LATN Sadržaj ugovora u celini: http://creativecommons.org/licenses/by-nc/3.0/rs/legalcode.sr-Latn
Language
Serbian
Cobiss-ID
Theses Type
Doktorska disertacija
description
Datum odbrane: 12.10.2020.
Other responsibilities
mentor
Milentijević, Ivan 1965-
član komisije
Rančić, Dejan
član komisije
Stoimenov, Leonid
član komisije
Tošić, Milorad
član komisije
Bašić, Milan
Academic Expertise
Prirodno-matematičke nauke
Academic Title
-
University
Univerzitet u Nišu
Faculty
Elektronski fakultet
Group
Katedra za računarstvo
Alternative title
A scalable software platform for exploring chemical and biological repositories
Publisher
B. Ј. Аrsić
Format
XII, 139 srt.
description
Bibliografija: str. 138-139.
description
Semantic Web
Abstract (en)
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.
Authors Key words
Integracija repozitorijuma, Semantički Veb, softverska
platforma, spektralna klasterizacija, teorija grafova
Authors Key words
Data integration, Semantic Web, software platform, spectral clustering, graph
theory
Classification
004.652:[54+57(043.3)
004.4:004.659(043.3)
Subject
P176
Type
Tekst
Abstract (en)
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.
“Data exchange” service offers individual users metadata transfer in several different formats. Citation formats are offered for transfers in texts as for the transfer into internet pages. Citation formats include permanent links that guarantee access to cited sources. For use are commonly structured metadata schemes : Dublin Core xml and ETUB-MS xml, local adaptation of international ETD-MS scheme intended for use in academic documents.