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SEKE 2012 Proceedings - Knowledge Systems Institute

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Conference Dataset<br />

Anatomy Dataset<br />

Figure 1. Experimental results of the proposed approach.<br />

In figure 2 the average F Measure value has been reported<br />

(Figure 2).<br />

Figure 2. The average F-measure.<br />

The proposed approach shows good results for each<br />

dataset and the best value of average F Measure . It means that<br />

the proposed approach is very general and can manage the<br />

ontology mapping problem in various cases with good<br />

results. In the next section the application of the proposed<br />

ontology mapping approach to the component reuse<br />

problem.<br />

4. Component Reuse based upon<br />

Ontology Mapping<br />

Ontology mapping, which is an i mportant part of<br />

ontology integration, can promote sharing a nd<br />

communication among different ontologies. The<br />

incorporation of ontology into so ftware engineering can<br />

improve the reuse of software assets effectively [18]. In<br />

recent years, it has become less likely to develop<br />

complete new software systems from scratch. It becomes<br />

very important to develop software by adapting or<br />

combining existing reusable components [17]. We<br />

observe that requirement specification can provide a data<br />

source for ontology model and the vital link for the<br />

combination of software engineering and o ntology [19].<br />

With this insight, a software component reuse app roach<br />

based on ontology mapping is formulated in Figure 3. The<br />

main idea is to process customer requirements and<br />

reusable components using ontology mapping techniques,<br />

and then construct the mapping between ontology nodes<br />

184

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