Version 3 (modified by anonymous, 18 years ago) (diff) |
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SimilarityMeasure: Graphmatching
Developer: Barbara Spillmann
Description
The Graph Matching module can be used to determine similarities of ontologies with respect to the structures of the ontologies under consideration. An ontology is mapped to a graph where each ontology element (concepts, relations, attributes) is represented as a vertex in the graph. Once such graph structures have been extracted, maximum common subgraphs (mcs) can be determined. An mcs refers to structurally equal parts of two graphs, or finally of two ontologies.
Originally, the definition of the maximum common subgraph of two graphs is strict in the sense that only exact subgraphs regarded. Applied to ontologies this is really not uesful as exact subparts of ontologies are rare. Therefore, a weaker definition of the mcs is used: subgraphs are defined to be common if they are similar enough. The similarity of subgraphs can be measured by various measures and possibly controlled by a threshold parameter.
Characteristics
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Evaluation/Performance
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Specification
Initialisation
The SimiliarityMeasure main class is
de.dfki.km.phaselib.TODO
Parameters
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Dependencies
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License Issues
TODO