Thesis Open Access

Concept and implementation of a rule framework to dynamically transform data and queries for heterogeneous collections

Gradl, Tobias

Thesis supervisor(s)

Henrich, Andreas

The presented thesis provides a new approach for the integration of heterogeneous data in contexts, which (1) require data to remain in their original structural and semantic form in order to allow a dynamic ad-hoc integration based on individual use-cases and (2) need a particular focus on lexical and syntactical patterns, which are only bound to the instance-level of data and thus not covered by schema level integration.

Based on preliminary work, the concept of a data transformation framework is developed on the contextual base of the formal interpretation of semi-structured schemata as regular tree grammars. As the content of the terminal nodes has been identified to be often not in an atomic form, the rule framework is applied on contained data in order to describe implicitly existing patterns and translate the data into semantically enriched forms.

Files (3.2 MB)
Name Size
3.2 MB Download
All versions This version
Views 10099
Downloads 7272
Data volume 233.5 MB233.5 MB
Unique views 9594
Unique downloads 6666


Cite as