Title :
A Lightweight Approach to Semantify Saudi Open Government Data
Author :
Al-Khalifa, Hend S.
Author_Institution :
Inf. Technol. Dept., King Saud Univ. Riyadh, Riyadh, Saudi Arabia
Abstract :
In the past couple of years we have witnessed an increased interest among governments around the world to release raw data to their citizens. This interest was augmented by converting the raw data into semantic representation to insure that the data can be shared and reused across applications. In this paper we present our attempt to convert Saudi Open Government Data (OGD) into Resource Description Framework (RDF) format by reusing existing ontologies. The advantage of performing such a process is twofold: (1) contribute to the vision of the semantic web and linked open data initiative and (2) enable data exchange and linking with other semantic resources.
Keywords :
government data processing; ontologies (artificial intelligence); semantic Web; OGD; RDF; Saudi open government data; linked open data initiative; ontologies; raw data; resource description framework; semantic Web; semantic representation; Government; Ontologies; Portals; Resource description framework; Semantics; Vocabulary; Linked Data; Open Government Data; RDF; Saudi Arabia; Semantic Web;
Conference_Titel :
Network-Based Information Systems (NBiS), 2013 16th International Conference on
Conference_Location :
Gwangju
Print_ISBN :
978-1-4799-2509-4
DOI :
10.1109/NBiS.2013.99