RDF Public Budget Data and Application
| Název práce v češtině: | RDF Public Budget Data and Application |
|---|---|
| Název v anglickém jazyce: | RDF Public Budget Data and Application |
| Klíčová slova: | RDF, public budgets, linked data |
| Klíčová slova anglicky: | RDF, public budgets, linked data |
| Akademický rok vypsání: | 2011/2012 |
| Typ práce: | bakalářská práce |
| Jazyk práce: | angličtina |
| Ústav: | Katedra softwarového inženýrství (32-KSI) |
| Vedoucí / školitel: | doc. Mgr. Martin Nečaský, Ph.D. |
| Řešitel: | skrytý - zadáno a potvrzeno stud. odd. |
| Datum přihlášení: | 03.11.2011 |
| Datum zadání: | 03.11.2011 |
| Datum potvrzení stud. oddělením: | 06.12.2011 |
| Zásady pro vypracování |
| Linked Data [1,2] is a set of principles, which will in the future lead to a new generation of the Web. The new generation will be a current Web of Documents of data enriched with so called Web of Data. The basic Linked Data principle is publishing data packages on the Web with unique identifiers in a form of URI. The packages will be linked on each other, which will form the mentioned Web of Data.
The aim of this thesis is to (1) design an ontology for public budgets and create its reference and user documentation, (2) transform data about public budgets of Czech administrations acquired from UFIS [3] in XML format to RDF format with respect to the designed ontology and (3) store the data into an RDF database. On top of the RDF databse the author will build an experimental application which visualizes the budget data in a user friendly way. He will also maintain a parallel relational database with the budged data and will allow a user to switch between the RDF and relational database to compare database performance. Finally, the author will use the SILK tool [4,5] to link the Czech budget data to the linked data cloud. |
| Seznam odborné literatury |
| [1] Christian Bizer, Tom Heath, Tim Berners-Lee: Linked Data - The Story So Far. Int. J. Semantic Web Inf. Syst. 5(3): 1-22 (2009) [http://tomheath.com/papers/bizer-heath-berners-lee-ijswis-linked-data.pdf]
[2] http://linkeddata.org/ [3] wwwinfo.mfcr.cz/ufis/ [4] Rober Isele, Anja Jentzch, Chris Bizer, Julius Volz. Silk - A Link Discovery Framework for the Web of Data. [http://www4.wiwiss.fu-berlin.de/bizer/silk/] [5] Axel-Cyrille Ngonga Ngomo, Jens Lehmann, Sören Auer and Konraf Höffner: RAVEN – Active Learning of Link Specifications. ISWC'11 Workshop on Ontology Matching (OM-2011) |