TY - GEN
T1 - Automatic data transformation-Breaching the walled gardens of social network platforms
AU - Wischenbart, Martin
AU - Mitsch, Stefan
AU - Kapsamer, Elisabeth
AU - Kusel, Angelika
AU - Lechner, Stephan
AU - Pröll, Birgit
AU - Retschitzegger, Werner
AU - Schönböck, Johannes
AU - Schwinger, Wieland
AU - Wimmer, Manuel
N1 - Publisher Copyright:
© 2013, Australian Computer Society, Inc.
PY - 2013
Y1 - 2013
N2 - 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 inte- gration 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 arbi- trary technical spaces.
AB - 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 inte- gration 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 arbi- trary technical spaces.
KW - Data model heterogeneity
KW - Json to rdf & owl
KW - Model driven approach
KW - Schema and instance transformation
KW - Social network data integration
UR - http://www.scopus.com/inward/record.url?scp=85013952544&partnerID=8YFLogxK
M3 - Conference contribution
SN - 9781921770289
T3 - Conferences in Research and Practice in Information Technology Series
SP - 89
EP - 98
BT - Conceptual Modelling 2013 - Proceedings of the 9th Asia - Pacific Conference on Conceptual Modelling, APCCM 2013
A2 - Grossmann, Georg
A2 - Ferrarotti, Flavio
PB - Australian Computer Society
T2 - 9th Asia - Pacific Conference on Conceptual Modelling, APCCM 2013
Y2 - 29 January 2013 through 1 February 2013
ER -