A study on ontology structure matching

In an E-Commerce environment with appeals in efficiency, the ontology constituted by Mobile Message and the time spent on conveying messages to appropriate users, will attract a high degree of attention. Nonetheless current study environment still lacks significant exploration in this field. In view of this, the study established mobile message template using Generally in the field of ontology, much emphasis is placed on how to apply ontology information; whereas few studies explore the efficacy of matching while more emphasize on how to match with respect to ontology matching. Under current mobile-commerce environment, the content of messages conveyed by shops mostly renders in texts. Consequently efficiency becomes the most important key to consideration. This article will conduct structural similarity matching through ontology structure, exploring the efficacies generated via different methods, and matching the two types of traditional ontology: Performance assessment was conducted using Breadth-First-Matching (BFM), Depth-First-Matching (DFM) and Node-Index-Matching (NIM) proposed by the study, in order to determine the most suitable method based on the numbers of matching. The experimental data showed that Node-Index-Matching (NIM) proposed by the study had significantly optimal performance on efficacy assessment, which consequently is more suitable for use in mobile environment with large quantity of messages.