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Dealing with diversity in a smart-city datahub

d'Aquin, Mathieu; Adamou, Alessandro; Daga, Enrico; Liu, Shuangyan; Thomas, Keerthi and Motta, Enrico (2014). Dealing with diversity in a smart-city datahub. In: Proceedings of the Fifth Workshop on Semantics for Smarter Cities, CEUR Workshop Proceedings, CEUR-WS.org, pp. 68–82.

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Abstract

In this paper, we present the data curation approach taken by the MK:Smart project, creating a large data repository of datasets about all aspects of the city of Milton Keynes in the UK and its citizens. The issues faced here, which we believe will become more and more common to large, data-centric smart-cities initiatives, is the one associated with the diversity of these thousands of datasets in terms of the licenses, policies and terms they are associated with them. We describe this repository of datasets, the MK Datahub, and its architecture to create data workflows from original sources to applications. We focus on the approach taken to record, in a structured, ontology-based way the components of the licenses and policies of each dataset, as well as the tools we are developing to manage such representations and to reason with them.

Item Type: Conference or Workshop Item
Copyright Holders: 2014 The Authors
ISSN: 1613-0073
Project Funding Details:
Funded Project NameProject IDFunding Body
MK:SMART, an integrated innovation and training programme leveraging large-scale city data to drive economic growth (Q-13-037-EM)H04HEFCE
Extra Information: collocated with the 13th International Semantic Web Conference (ISWC 2014), Riva del Garda, Italy, October 19, 2014.
Keywords: smart cities; linked data; data curation; ODR; smart-city
Academic Unit/School: Faculty of Science, Technology, Engineering and Mathematics (STEM) > Knowledge Media Institute (KMi)
Faculty of Science, Technology, Engineering and Mathematics (STEM)
Interdisciplinary Research Centre: Centre for Research in Computing (CRC)
Related URLs:
Item ID: 42047
Depositing User: Alessandro Adamou
Date Deposited: 09 Feb 2015 10:22
Last Modified: 13 Sep 2017 08:22
URI: http://oro.open.ac.uk/id/eprint/42047
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