Put in your postcode, out comes the data: a case study

  • Authors:

  • Tope Omitola;Christos L. Koumenides;Igor O. Popov;Yang Yang;Manuel Salvadores;Martin Szomszor;Tim Berners-Lee;Nicholas Gibbins;Wendy Hall;mc schraefel;Nigel Shadbolt

  • Affiliations:

  • Intelligence, Agents, Multimedia (IAM) Group, School of Electronics and Computer Science, University of Southampton, UK;Intelligence, Agents, Multimedia (IAM) Group, School of Electronics and Computer Science, University of Southampton, UK;Intelligence, Agents, Multimedia (IAM) Group, School of Electronics and Computer Science, University of Southampton, UK;Intelligence, Agents, Multimedia (IAM) Group, School of Electronics and Computer Science, University of Southampton, UK;Intelligence, Agents, Multimedia (IAM) Group, School of Electronics and Computer Science, University of Southampton, UK;City eHealth Research Centre, City University London, UK;Intelligence, Agents, Multimedia (IAM) Group, School of Electronics and Computer Science, University of Southampton, UK;Intelligence, Agents, Multimedia (IAM) Group, School of Electronics and Computer Science, University of Southampton, UK;Intelligence, Agents, Multimedia (IAM) Group, School of Electronics and Computer Science, University of Southampton, UK;Intelligence, Agents, Multimedia (IAM) Group, School of Electronics and Computer Science, University of Southampton, UK;Intelligence, Agents, Multimedia (IAM) Group, School of Electronics and Computer Science, University of Southampton, UK

  • Venue:
  • ESWC'10 Proceedings of the 7th international conference on The Semantic Web: research and Applications - Volume Part I
  • Year:
  • 2010

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Abstract

A single datum or a set of a categorical data has little value on its own. Combinations of disparate sets of data increase the value of those data sets and helps to discover interesting patterns or relationships, facilitating the construction of new applications and services. In this paper, we describe an implementation of using open geographical data as a core set of “join point”(s) to mesh different public datasets. We describe the challenges faced during the implementation, which include, sourcing the datasets, publishing them as linked data, and normalising these linked data in terms of finding the appropriate “join points” from the individual datasets, as well as developing the client application used for data consumption. We describe the design decisions and our solutions to these challenges. We conclude by drawing some general principles from this work.