Automatic Data Transformation: Breaching the Walled Gardens of Social Network Platforms
Sprache des Titels:
Proceedings of the 9th Asia-Pacific Conference on Conceptual Modelling (APCCM 2013)
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.