Experimental Evaluation of Multi-Agent Ontology Mapping Framework

  • Miklos Nagy
  • Maria Vargas-Vera
Part of the IFIP International Federation for Information Processing book series (IFIPAICT, volume 296)


Ontology mapping is a prerequisite for achieving heterogeneous data integration on the Semantic Web. The vision of the Semantic Web implies that a large number of ontologies are present on the Web that needs to be aligned before one can make use of them e.g. question answering on the Semantic Web. During the recent years a number of mapping algorithms, frameworks and tools have been proposed to address the problem of ontology mapping. Unfortunately comparing and evaluating these tools is not a straightforward task as these solutions are mainly designed for different domains. In this paper we introduce our ontology mapping framework called “DSSim” and present an experimental evaluation based on the tracks of the Ontology Alignment Evaluation Initiative (OAEI 2008).


Semantic Similarity Question Answering Mapping Agent Ontology Mapping Ontology Match 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© IFIP International Federation for Information Processing 2009

Authors and Affiliations

  • Miklos Nagy
    • 1
  • Maria Vargas-Vera
    • 2
  1. 1.Knowledge Media InstituteThe Open UniversityUK
  2. 2.Computing DepartmentThe Open UniversityUK

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