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Title:Izdelava programske rešitve za izvajanje bibliometričnih raziskav in gradnjo tezavrov iz velikih količin bibliometričnih podatkov : diplomsko delo
Authors:Vezenšek, Boris (Author)
Ojsteršek, Milan (Mentor) More about this mentor... New window
Files:.pdf UN_Vezensek_Boris_2019.pdf (1,93 MB)
MD5: 2B2D8F237C8AF2BBD3DA5AAB48811944
 
Language:Slovenian
Work type:Bachelor thesis/paper (mb11)
Typology:2.11 - Undergraduate Thesis
Organization:FERI - Faculty of Electrical Engineering and Computer Science
Abstract:V diplomskem delu je obravnavana bibliometrija in bibliometrične analize, izvedene s pomočjo izdelane programske rešitve. Opisane so tehnologije, uporabljene za rešitev našega problema. Tukaj gre predvsem za delovanje Hadoopovega porazdeljenega datotečnega sistema HDFS in modela MapReduce ter sistema Apache Spark. Opisani sta tudi rešitvi Analysis Services Tabular in Power BI. Na koncu so na izbranih primerih predstavljeni rezultati različnih bibliometričnih analiz v orodju Power BI, ki se napaja iz podatkovnega modela, implementiranega v tem diplomskem delu. Rezultati so prikazani v različni obliki – z vizualizacijami, primernimi za takšno vrsto podatkov.
Keywords:bibliometrija, Hadoop, HDFS, Microsoft Academic Graph, podatki CORE, porazdeljena obdelava, Spark, velepodatki
Year of publishing:2019
Place of performance:Maribor
Publisher:[B. Vezenšek]
Number of pages:VI, 46 str.
Source:Maribor
UDC:004.65(043.2)
COBISS_ID:22901014 New window
NUK URN:URN:SI:UM:DK:MBTR3GC9
Views:331
Downloads:33
Metadata:XML RDF-CHPDL DC-XML DC-RDF
Categories:KTFMB - FERI
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Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:29.08.2019

Secondary language

Language:English
Title:Implementing a software solution for bibliometric research and building thesaurus from large amount of bibliometric data
Abstract:The diploma thesis deals with bibliometrics and bibliometric analyses, performed with the help of a software solution, implemented in this thesis. The technologies used to solve our problem are described. This is mainly about the operation of Hadoop's distributed file system HDFS, MapReduce and Apache Spark. Analysis Services Tabular and Power BI are also described. Finally, the selected examples present the results of various bibliometric analyses in Power BI, which uses a data model, implemented in this thesis. The results are presented in a variety of formats - with visualizations, appropriate for this kind of data.
Keywords:bibliometrics, Hadoop, HDFS, Microsoft Acedemic Graph, CORE data, distributed processing, Spark, big data


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