Automatic data transformation: breaching the walled gardens of social network platforms

  • Authors:

  • Martin Wischenbart;Stefan Mitsch;Elisabeth Kapsammer;Angelika Kusel;Stephan Lechner;Birgit Pröll;Werner Retschitzegger;Johannes Schönböck;Wieland Schwinger;Manuel Wimmer

  • Affiliations:

  • Vienna University of Technology, Vienna, Austria;Johannes Kepler University, Linz, Austria;Johannes Kepler University, Linz, Austria;Johannes Kepler University, Linz, Austria;Netural GmbH, Linz, Austria;Johannes Kepler University, Linz, Austria;Johannes Kepler University, Linz, Austria;Vienna University of Technology, Vienna, Austria;Johannes Kepler University, Linz, Austria;Vienna University of Technology, Vienna, Austria

  • Venue:
  • APCCM '13 Proceedings of the Ninth Asia-Pacific Conference on Conceptual Modelling - Volume 143
  • Year:
  • 2013

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Abstract

Although many social networks on the Web allow access via dedicated APIs, the extraction of instance data for further use by applications is often a tedious task. As a result, instance data transformation to Linked Data in the form of owl, as well as the integration with other data sources, are aggravated. To alleviate these problems, this paper proposes a model-driven approach to overcome data model heterogeneity by automatically transforming schemas and instance data from json to owl/xml, utilizing the semantic features of owl and Jena inference rules. We present a prototypical implementation on the basis of the Eclipse Modeling Framework. This implementation is applied and evaluated on data from Facebook, Google+, and LinkedIn. Finally, we provide prospects for semantic integration and managing evolution, as well as a discussion of how to generalize our approach to other domains and transformations between arbitrary technical spaces.