
## 5 Conclusion

We have described a method to generate a new ontology on the basis **of the**
bio-ontologies most of which are available in OBO Foundry**. We have shown**
how to create modules on the basis of the terms of interest. The signature for the module extraction is enriched by the symbols from other modules **with the** fixpoint as a stop criterion. We have integrated modules on the basis **of mappings** created using Levenshtein distance similarity.

We have investigated how to solve unsatisfiable classes which appear **after**
the integration of the modules. Although the number of unsatisfiable classes was high, it was possible to solve unsatisfiabilities with the help of explanations provided by the Pellet reasoner.

In this study we have shown that the modularity and simple mappings provide a good foundation for the creation of a new ontology in an pseudoautomated way. This method can be used when an ontology engineer **does not**
want to create a new ontology from scratch, but rather wants to **reuse knowledge** already presented in other ontologies. Moreover, this is the strategy that should be preferred and has to be applied more often as ontologies gain importance in life sciences.

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