Falcon-AO++: An Improved Ontology Alignment System

Fatsuma Jauro, S. B. Junaidu, S. E. Abdullahi
2014 International Journal of Computer Applications  
With the semantic web, data becomes machine-readable and ontologies define the data. Ontologies in any domain are heterogeneous due to rapid increase in ontology development and differences in views of developers. Agents can fully understand the data only if the correspondences between ontologies are known. Various ontology alignment systems have been developed to automatically discover such correspondences. However, human involvement is still indispensible because the results provided by fully
more » ... automatic systems are not always complete or precise. This paper introduces Falcon-AO++, an extension of the Falcon-AO alignment system that supports the interactive contribution of a domain expert in the matching process. The evaluation results have shown that contribution of an expert and matching ability of matchers can improve alignment results.
doi:10.5120/16312-5541 fatcat:zkox2fbiyvgv7h7hbbx5dlakuu