Vizualizacija semantično obogatenih podatkov s pomočjo HTML5 : diplomsko delo

Šobar, Gregor (author), Lavbič, Dejan (mentor)

V diplomskem delu je bil raziskan koncept semantičnega spleta, predstavljene so bile njegove prednosti, tehnologije ter prihodnji trendi razvoja. Izdelan je bil prototip aplikacije - pregledovalnik omrežja podatkov. Pregledovalnik preko poizvedb SPARQL sprejme ontologijo, zapisano v standardnem jeziku RDF, in pridobljene podatke vizualizira, omogoča pa tudi iskanje in filtriranje po specifičnih entitetah oziroma njihovih lastnostih. Vizualizacija je interaktivna, prikazani graf je mogoče podrobneje raziskovati. Implementacija aplikacije temelji na označevalnem jeziku HTML5 in različnih JavaScript knjižnicah, ki olajšajo delo pri vizualizaciji grafov in drugih funkcionalnostih. Podatki za demonstracijo prototipa so bili pridobljeni iz baze, nastale na podlagi luščenja podatkov iz Poslovnega registra Slovenije (AJPES), vsebinsko pa so bili obogateni še s podatki iz DBpedie.

• Language: Slovenian
• Keywords: semantični splet, vizualizacija semantičnih podatkov in metapodatkov, vizualizacija grafa, raziskovanje po grafu, SPARQL, RDF, HTML5, JavaScript, računalništvo, računalništvo in informatika, univerzitetni študij, diplomske naloge
• Work type: Bachelor thesis/paper
• Typology: 2.11 - Undergraduate Thesis
• Organization: FRI - Faculty of Computer and Information Science
• Publisher: [G. Šobar]
• Year: 2014
• Number of pages: 68 str.
• PID: 20.500.12556/RUL-68949
• UDC: 004.774.2(043.2)
• COBISS.SI-ID: 1536133571
• Publication date in RUL: 10.07.2015

Secondary language

• Language: English
• Title: Semantic data visualization using HTML5

Abstract

In the thesis the concept of semantic web has been studied and its advantages, technology and future development trends presented. A prototype of the application – a data network browser – was made. The browser accepts the ontology, written in the standard RDF language, via SPARQL queries and visualizes the information obtained. It also allows searching and filtering for specific entities and their properties. The visualization is interactive and the displayed graph can be explored further. The implementation of the application is based on the HTML5 markup language and various JavaScript libraries which help with the visualization of graphs and other functionalities. Data for the demonstration of the prototype was obtained from a database generated by the extracting of data from the Business Register of Slovenia (APLRS), the content being enriched further by information from DBpedia.

• Keywords: semantic web, visualization of semantic data and metadata, graph visualization, graph exploration, SPARQL, RDF, HTML5, JavaScript, computer science, computer and information science, diploma