Pregled in analiza semantičnih (SPARQL) podatkovnih baz

Ostovršnik, Anja (author), Žitnik, Slavko (mentor)

Semantične baze so posebna vrsta podatkovnih baz, ki omogočajo shranjevanje in poizvedovanje podatkov na način, ki upošteva njihov pomen in medsebojne odnose. Namen diplomske naloge je predstavitev in primerjava nekaj najbolj razširjenih rešitev na področju semantičnih baz. Vsebinsko je diplomska naloga razdeljena na dva dela. V prvem delu so opredeljeni kriteriji za primerjavo različnih ponudnikov semantičnih baz ter opis in primerjava njihovih rešitev. V drugem delu so opisani načini testiranja in načrt implementacije baz. V praktičnem delu izvedemo testiranje po zastavljenih testnih scenarijih. V zaključku so podane ključne ugotovitve glede predstavljenih semantičnih podatkovnih baz.

• Language: Slovenian
• Keywords: podatkovne baze, semantični splet, ontologije, SPARQL
• Work type: Bachelor thesis/paper
• Typology: 2.11 - Undergraduate Thesis
• Organization: FRI - Faculty of Computer and Information Science
• Year: 2023
• PID: 20.500.12556/RUL-148954
• COBISS.SI-ID: 164504579
• Publication date in RUL: 01.09.2023

Secondary language

• Language: English
• Title: Review and analysis of semantic (SPARQL) databases

Abstract

Semantic databases are a special type of database that allow data to be stored and queried in a way that takes into account their meaning and interrelationships. The aim of this thesis is to present and compare some of the most widely used solutions in the field of semantic databases. The thesis is divided into two parts. The first part defines the criteria for comparing different semantic database providers, and describes and compares their solutions. The second part describes the testing methods and the implementation plan of the databases. In the practical part, we perform the testing according to the set test scenarios. In the conclusion, key conclusions are given with respect to the presented semantic databases.

• Keywords: databases, semantic web, ontologies, SPARQL