Complexity Based Analysis of eGov Ontologies

摘要

The analysis of complexity of ontologies in a domain reveals their underlying characteristics and support their selection, reuse and maintenance. This study performs the analysis of e-government ontologies in the oeGov repository based on their complexity. The complexity metrics of oeGov ontologies are computed and analysed. Results revealed that only the top level ontologies in the oeGov architecture have classes, properties and instances; the majority of the constituents of the oeGov repository are instances or datasets of the top level ontologies. Results further revealed important facts on the distribution of relations and instances in the oeGov ontologies and portrayed that the government (gov) and geopolitical ontologies are the more complex ontologies in the oeGov repository.