A Benchmark for Ontologies Merging Assessment [chapter]

Mariem Mahfoudh, Germain Forestier, Michel Hassenforder
2016 Lecture Notes in Computer Science  
In the last years, ontology modeling became popular and thousands of ontologies covering multiple fields of application are now available. However, as multiple ontologies might be available on the same or related domain, there is an urgent need for tools to compare, match, merge and assess ontologies. Ontology matching, which consists in aligning ontology, has been widely studied and benchmarks exist to evaluate the different matching methods. However, somewhat surprisingly, there are no
more » ... cant benchmarks for merging ontologies, proving input ontologies and the resulting merged ontology. To fill this gap, we propose a benchmark for ontologies merging, which contains different ontologies types, for instance: taxonomies, lightweight ontologies, heavyweight ontologies and multilingual ontologies. We also show how the GROM tool (Graph Rewriting for Ontology Merging) can address the merging process and we evaluate it based on coverage, redundancy and coherence metrics. We performed experiments and show that the tool obtained good results in terms of redundancy and coherence. This is the author's version of an article published at KSEM 2010. The final authenticated version is available online at: http://dx.
doi:10.1007/978-3-319-47650-6_44 fatcat:j2umrmks5nfmhitayu6hacan64