Dipl.-Inf. Konrad Voigt

Structural Graph-based Metamodel Matching

Dokumente und Dateien

Hinweis

Bitte nutzen Sie beim Zitieren immer folgende Url:

http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-81671

Kurzfassung in Englisch

Data integration has been, and still is, a challenge for applications processing multiple heterogeneous data sources. Across the domains of schemas, ontologies, and metamodels, this imposes the need for mapping specifications, i.e. the task of discovering semantic correspondences between elements. Support for the development of such mappings has been researched, producing matching systems that automatically propose mapping suggestions.

However, especially in the context of metamodel matching the result quality of state of the art matching techniques leaves room for improvement. Although the traditional approach of pair-wise element comparison works on smaller data sets, its quadratic complexity leads to poor runtime and memory performance and eventually to the inability to match, when applied on real-world data.

The work presented in this thesis seeks to address these shortcomings. Thereby, we take advantage of the graph structure of metamodels. Consequently, we derive a planar graph edit distance as metamodel similarity metric and mining-based matching to make use of redundant information. We also propose a planar graph-based partitioning to cope with large-scale matching. These techniques are then evaluated using real-world mappings from SAP business integration scenarios and the MDA community. The results demonstrate improvement in quality and managed runtime and memory consumption for large-scale metamodel matching.

weitere Metadaten

Schlagwörter
(Deutsch)
Metamodell, Ähnlichkeit, Graphen, Planar
Schlagwörter
(Englisch)
Metamodel, Matching, Graph, Planar
DDC Klassifikation004
RVK KlassifikationST 274, ST 230
Institution(en) 
HochschuleTechnische Universität Dresden
FakultätFakultät Informatik
ProfessurProfessur für Softwaretechnologie
BetreuerProf. Dr. rer. nat. habil. Uwe Aßmann
GutachterProf. Dr. rer. nat. habil. Uwe Aßmann
Prof. Dr. Jorge Cardoso
DokumententypDissertation
SpracheEnglisch
Tag d. Einreichung (bei der Fakultät)15.07.2011
Tag d. Verteidigung / Kolloquiums / Prüfung02.11.2011
Veröffentlichungsdatum (online)17.01.2012
persistente URNurn:nbn:de:bsz:14-qucosa-81671

Hinweis zum Urheberrecht

Diese Website ist eine Installation von Qucosa - Quality Content of Saxony!
Sächsische Landesbibliothek Staats- und Universitätsbibliothek Dresden