This paper presents a framework for data collection, filtering, and fusion, together with a set of operational tools to validate, analyze, utilize, and highlight the added value of probe data. Data is collected by both conventional (loops, radars, and cameras) and innovative (Floating Car Data, detectors of Bluetooth devices) technologies and refers to travel times and traffic flows on road networks. The city of Thessaloniki, Greece, serves as a case study for the implementation of the proposed framework. The methodology includes the estimation of traffic flow based on measured travel time along predefined routes and short-term forecasting of traffic volumes and their spatial expansion in the road network. The proposed processes and the framework itself have the potential of being implemented in urban road networks.
Based on existing literature, this article makes a case for open (government) data as supporting political efficiency, socio-economic innovation and administrative efficiency, but also finds a lack of measurable impact. It attributes the lack of impact to shortcomings regarding data access (must be efficient) and data usefulness (must be effective). To address these shortcomings, seven key activities that add value to data are identified and are combined into the 7R Data Value Framework, which is an applied methodology for linked data to systematically address both technical and social shortcomings. The 7R Data Value Framework is then applied to the international Fusepool project that develops a set of integrated software components to ease the publishing of open data based on linked data and associated best practices. Real-life applications for the Dutch Parliament and the Libraries of Free University of Berlin are presented, followed by a concluding discussion.
The work reported here was done within the applied research project Fusepool. Fusepool is an international project to develop a set of integrated software components to ease the publishing of open data based on an open-source Linked Data Platform and a set of associated best practices. This article provides researchers and laypersons interested in Linked Open Government Data an overview of the concepts, methodologies, and tools. It introduces the main concepts, such as open government and open government data along with enabling technological approaches such as the semantic web and linked data. It then presents the methodologies for publishing Linked Open Government Data along the R5 framework: Reveal, Refine, Reuse, Release, and Run. The final section discusses the potential impact of the Linked Data Platform as well as areas for further improvement.
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