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RWTH Aachen
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Discovery of Semantic Relationships in Schema Matching

Thesis type
  • Master
Student Marko Pascan
Status Finished
Submitted in 2010
Proposal on 17. May 2010 16:30
Proposal room Seminarraum I5
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Presentation on 23. Nov 2010 16:00
Presentation room Seminarraum I5
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Schema matching or ontology alignment usually only detects "similar" (or in the best case, equal) elements. However, relationships in ontologies can be more complex: there are subsumption and disjoint relationships. Currently there are only few approaches that can discover and use non-equivalence relationships in ontology (schema) matching tasks, and most of them can discover only one type of non-equivalence relationship (e.g. either subsumption or disjointness). Therefore, the goal of this thesis is the design and implementation of a comprehensive and generic tool for discovery non-equivalence relations in ontology and schema matching tasks.

Schema matching or ontology alignment usually only detects "similar" (or in the best case, equal) elements. However, relationships in ontologies can be more complex: there are subsumption and disjoint relationships. These types of relationships are especially important for logical methods in matching. For example, mappings can be checked for for logical inconsistencies. However, inconsistencies can be only detected if disjoint relationships are present.

Currently there are only few approaches that can discover and use non-equivalence relationships in ontology (schema) matching tasks, and most of them can discover only one type of non-equivalence relationship (e.g. either subsumption or disjointness). In addition, these approaches usually consider same types of metamodels (e.g. OWL). Thus, there is a need for a comprehensive and generic tool for discovery non-equivalence relations in ontology and schema matching tasks with aim of improving match results.

The goals of the thesis are:

  • Develop mechanisms to eff ectively discover non-equivalence (disjoint and subsumption) relationships between concepts of input ontologies (schemas) of a matching task
  • The mechanisms should be incorporated into the matching framework of the generic model management system GeRoMeSuite.
  • Discovered non-equivalence relationships should be used by a matcher in a meaningful way in order to improve the quality of match results, discover new or fi lter existing equivalence relationships.
  • The mechanisms for discovery of non-equivalence relationships should be eval- uated using existing matching tasks, such as the tasks from OAEI.

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