Complexity Based Analysis of eGov Ontologies

被引：1

作者：

Fonou-Dombeu, Jean Vincent ^{[1
]}

Kazadi, Yannick Kazela ^{[2
]}

机构：

[1] Vaal Univ Technol, Dept Software Studies, Private Bag X021,Andries Potgieter Blvd, ZA-1900 Vanderbijlpark, South Africa

[2] Vaal Univ Technol, Dept ICT, Private Bag X021,Andries Potgieter Blvd, ZA-1900 Vanderbijlpark, South Africa

来源：

ELECTRONIC GOVERNMENT AND THE INFORMATION SYSTEMS PERSPECTIVE (EGOVIS 2017) | 2017年 / 10441卷

关键词：

E-Government; Ontology; Ontology complexity metrics; oeGov; Ontology repository; METRICS; DESIGN;

D O I：

10.1007/978-3-319-64248-2_9

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

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.

引用

页码：115 / 128

页数：14

共 19 条

[1] Evaluating the impact of Object-Oriented design on software quality [J].