As a result of wide-ranging growth of data-oriented sustainable techniques within the authorities and the general public sectors, the event of such sustainable techniques is replete with potential. The final word focus of creating these sustainable techniques is to offer residents with transparency, accountability, consciousness in addition to a single level of question for asking built-in and sensible queries. In view of those advantages, the Saudi authorities has taken the initiative to publish and develop sustainable open data-oriented info techniques. Nonetheless some main challenges within the Saudi Authorities Open Information are that the (1) knowledge are revealed and accessible in several codecs resembling Excel sheets, CSV recordsdata (Comma Separated Values), photographs, scanned paperwork and social media sources resembling Twitter, (2) datasets from totally different authorities departments are usually not linked with one another or to current datasets in Linked Open Information Cloud (regardless that they’ve sturdy hyperlinks with one another), and (3) there is no such thing as a SPARQL Endpoint that can be utilized to pose sensible semantic-based queries to Saudi Authorities Information. This paper is a part of an ongoing analysis mission to current a framework that can be utilized to switch the federal government knowledge from totally different sources to RDF format. The framework can be used to wash and classify/map the info in response to the Saudi Authorities Ontology. We additionally describe our method for semiautomatically linking Saudi Authorities Datasets with each other in addition to with different current open datasets, thus ensuing within the Saudi Linked Open Authorities Information Cloud (SLOGDC). Lastly, taking the subject “Public’s Response to Ladies’s Driving in Saudi Arabia” as a case examine, we show the SLOGD SPARQL Endpoint as a data-oriented system by executing totally different queries and analyzing outcomes of those queries. This work additionally contributes new insights into girls’s driving in Saudi Arabia utilizing the SLOGDC, thus suggesting the way in which ahead in shaping insurance policies for decision-making.