Linked Relations Architecture for Production and Consumption of Linksets in Open Government Data

Abstract : Linking open data in government domain, can lead to creation of new services and information as well as discovery of new ways to perform queries and get results in accessible, machine processable and structured manner. To reach the full potential of open government data more relations between data should be discovered. The interconnection of open government data and semantic description of their relations can bring new aspect of producing and consuming the data. In this paper we investigate issues for producing and utilizing open government data with special focus on dataset relations. We have proposed the Linked Relations (LIRE) architecture for relations creation between datasets and a basic RDF model of relation between two datasets. The architecture contains different modules that perform analysis of datasets attributes and suggest the type of relation between the datasets. It can be utilized by open data portals for creating relations between datasets belonging to different public agencies and government sectors. An idea presented in this paper is made available as CKAN plugin.
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Marijn Janssen; Matti Mäntymäki; Jan Hidders; Bram Klievink; Winfried Lamersdorf; Bastiaan van Loenen; Anneke Zuiderwijk. 14th Conference on e-Business, e-Services and e-Society (I3E), Oct 2015, Delft, Netherlands. Lecture Notes in Computer Science, LNCS-9373, pp.212-222, 2015, Open and Big Data Management and Innovation 〈10.1007/978-3-319-25013-7_17〉
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Petar Milić, Nataša Veljković, Leonid Stoimenov. Linked Relations Architecture for Production and Consumption of Linksets in Open Government Data. Marijn Janssen; Matti Mäntymäki; Jan Hidders; Bram Klievink; Winfried Lamersdorf; Bastiaan van Loenen; Anneke Zuiderwijk. 14th Conference on e-Business, e-Services and e-Society (I3E), Oct 2015, Delft, Netherlands. Lecture Notes in Computer Science, LNCS-9373, pp.212-222, 2015, Open and Big Data Management and Innovation 〈10.1007/978-3-319-25013-7_17〉. 〈hal-01448040〉

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