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