KOSIMap @ DL2010

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Semantic interoperability is essential on the Semantic Web to enable different information systems to exchange data. Such interoperability can be achieved by identifying similar information in heterogeneous ontologies. In this paper, we describe the Knowledge Organisation System Implicit Mapping (KOSIMap) framework, which differs from existing ontology mapping approaches by using description logic reasoning (i) to extract implicit information as background knowledge for every entity, and (ii) to remove inappropriate mappings from an alignment.
The results of our evaluation show that the use of Description Logic in the ontology matching task increases coverage.

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KOSIMap @ DL2010

  1. 1. KOSIMap Use of Description Logic Reasoning to Align Heterogeneous Ontologies
  2. 2. KOSIMap <ul><li>KOSIMap stands for Knowledge Organisation System Implicit Mapping </li></ul><ul><li>KOSIMap uses DL reasoning: </li></ul><ul><ul><li>To extract background knowledge about ontological entities; </li></ul></ul><ul><ul><li>To reduce the impact of syntax heterogeneity; </li></ul></ul><ul><ul><li>To remove inappropriate mappings from an alignment. </li></ul></ul>
  3. 4. DL Processing (I) <ul><li>Classify the ontology using DL-reasoner </li></ul><ul><li>Transformation rules for getting properties associated with a concept </li></ul>
  4. 5. DL Processing (II) <ul><li>Extend DL reasoning to extract implicit domain and range </li></ul>
  5. 6. Mapping Extraction & Refinement <ul><li>Extract a pre-alignment A pre by adding a correspondence <e s , e t ,  , r st > if </li></ul><ul><ul><li>If max(r st ) for e s in the source ontology, and </li></ul></ul><ul><ul><li>r st >  </li></ul></ul><ul><li>Remove inappropriate correspondences from the pre-alignment, such as </li></ul><ul><ul><li>Redundant mappings </li></ul></ul><ul><ul><li>Inconsistent mappings </li></ul></ul>

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