| Summary: | 碩士 === 國立虎尾科技大學 === 資訊工程研究所 === 102 === The prevalence of mobile devices and the business opportunities associated with these devices have influenced the development of mobile software industries. In addition, a wide variety of mobile Applications (Apps) has been developed to satisfy the living needs of people. Therefore, developing a method that would enable users to download the mobile App that fulfills their preference and needs is a topic worthy of investigation. In this study, we proposed a base object model combined with ontology cloud computing framework (BOMCOCCF) that comprises a base object model (BOM), semantic web technology, mobile technology, and Apache Hadoop cloud computing software. This technological framework was verified by using a travel activity App recommendation platform (TAARP). In the TAARP, semantics were recommended based on a BOM schema; a BOM for the mobile App data formulated by TAARP users was established and subsequently analyzed to construct ontology data.Furthermore ,information related to users’ preferences and positioning was integrated to create a resource description framework (RDF). Based on the conditions stipulated in the rules of ontology, information irrelevant to users’ needs was eliminated, and information useful to users was recommended. Finally, the Hadoop platform, which is capable of rapidly processing large data volume, was adopted in the TAARP to fulfill the diverse requirements of mobile users, thereby achieving the concept of mobile cloud computing. In this study, the TAARP and the Hadoop cloud computing platform were employed to verify the proposed BOMCOCCF. Consequently, this enabled the performance requirements of mobile users to be satisfied.
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