Quality of life in an urban environment depends strongly on ecological, social and mobility aspects. A major innovation in that context is given by the emergence of electric vehicles. Additionally, the explosive growth of social networks has shown how the Internet can be used to maintain and create communities, thereby bringing mutual benefits to the involved participants. Combining both, there is an obvious potential for the realization of collaborative electric vehicle sharing within a city. In this paper, we investigate one of the key aspects required to realize the vision of electric vehicle sharing - a cloud infrastructure for handling the required data. We propose a distributed architecture for the realization of such data cloud. Further, we demonstrate how ISP networks and the elect ric mobility data cloud can collaborate in order to provide efficient streaming of continuous data
The European Data Portal (EDP) is a central access point for metadata of Open Data published by public authorities in Europe and acquires data from more than 70 national data providers. The platform is a starting point in adopting the Linked Data specification DCAT-AP, aiming to increase interoperability and accessibility of Open Data. In this paper, we present the design of the central data management components of the platform, responsible for metadata storage, data harvesting and quality assessment. The core component is based on CKAN, which is extended by the support for native Linked Data replication to a triplestore to ensure legacy compatibility and the support for DCAT-AP. Regular data harvesting and the creation of detailed quality reports are performed by custom components adressing the requirements of DCAT-AP. The EDP is well on track to become the core platform for European Open Data and fostered the acceptance of DCAT-AP. Our platform is available here: https://www.europeandataportal.eu.
The publication and (re)utilization of Open Data is still facing multiple barriers on technical, organizational and legal levels. This includes limitations in interfaces, search capabilities, provision of quality information and the lack of definite standards and implementation guidelines. Many Semantic Web specifications and technologies are specifically designed to address the publication of data on the web. In addition, many official publication bodies encourage and foster the development of Open Data standards based on Semantic Web principles. However, no existing solution for managing Open Data takes full advantage of these possibilities and benefits. In this paper, we present our solution "Piveau", a fully-fledged Open Data management solution, based on Semantic Web technologies. It harnesses a variety of standards, like RDF, DCAT, DQV, and SKOS, to overcome the barriers in Open Data publication. The solution puts a strong focus on assuring data quality and scalability. We give a detailed description of the underlying, highly scalable, service-oriented architecture, how we integrated the aforementioned standards, and used a triplestore as our primary database. We have evaluated our work in a comprehensive feature comparison to established solutions and through a practical application in a production environment, the European Data Portal. Our solution is available as Open Source.
During the past years, various activities and concepts have shaped and prepared the path for the development of urban environments toward smart cities across the world. One of the initial activities was relating to the opening of vast amounts of data from various public administrations and utility companies within a city in order to create a viable eco-system of urban services and applications. Thereby, the harvested metadata needed to be verified in terms of correctness and a corresponding level of quality had to be assured. In addition, the concept of an Open Urban Platform emerged as an overall solution for smart cities Information Communication Technology (ICT) in the sense that an abstract reference model was established and standardized, providing an overall picture of the ICT structures within a city. Within this article, we use the Open Urban Platform concept as the basics to describe and map our activities within the Open Data domain, focusing mainly on the Open Data prototype for German Open Governmental Data—namely GovData.DE. Thereby, we describe our metadata harvesting and metadata quality assurance approach and discuss on lessons learned, which flow into the definition of metadata quality metrics and have the potential to lead to a corresponding standard within the Deutsches Institut für Normung e.V. (DIN) German national standardization.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.