Automatic Data Transformation: Breaching the Walled Gardens of Social Network Platforms

Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review

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.
Original languageEnglish
Title of host publicationProceedings of the 9th Asia-Pacific Conference on Conceptual Modelling (APCCM 2013)
EditorsGeorg Grossmann, Flavio Ferrarotti
Pages89-98
Number of pages10
Volume143
Publication statusPublished - 2013

Publication series

NameConferences in Research and Practice in Information Technology Series
Volume143
ISSN (Print)1445-1336

Fields of science

  • 102 Computer Sciences
  • 102006 Computer supported cooperative work (CSCW)
  • 102015 Information systems
  • 102014 Information design
  • 102027 Web engineering

JKU Focus areas

  • Computation in Informatics and Mathematics

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