diplomsko delo
Boris Vezenšek (Author), Milan Ojsteršek (Mentor)

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;diplomske naloge;

Data

Language: Slovenian
Year of publishing:
Typology: 2.11 - Undergraduate Thesis
Organization: UM FERI - Faculty of Electrical Engineering and Computer Science
Publisher: [B. Vezenšek]
UDC: 004.65(043.2)
COBISS: 22901014 Link will open in a new window
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Downloads: 45
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Other data

Secondary language: English
Secondary title: Implementing a software solution for bibliometric research and building thesaurus from large amount of bibliometric data
Secondary 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.
Secondary keywords: bibliometrics;Hadoop;HDFS;Microsoft Acedemic Graph;CORE data;distributed processing;Spark;big data;
Type (COBISS): Bachelor thesis/paper
Thesis comment: Univ. v Mariboru, Fak. za elektrotehniko, računalništvo in informatiko, Računalništvo in informacijske tehnologije
Pages: VI, 46 str.
ID: 11210234
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