- 學位論文
基於基礎物件模組與知識本體之語意雲端運算架構之研究
A Study on the Semantic-Based Cloud Computing Framework Based on Base Object Model and Ontology
摘要
現今行動裝置的盛行，其龐大商機影響著行動軟體業的發展，行動應用程式（Mobile Application, Mobile App）在生活中也因應需求，發展各式各樣的應用。但在眾多的需求當中，如何讓使用者下載到符合喜好的 Mobile App， 是值得研究與探討的問題。有鑑於此，本研究提出一個整合基礎物件模組與知識本體雲端運算的架構(Base Object Model Combined with Ontology Cloud Computing Framework ，BOMCOCCF)，其一般性架構包含基礎物件模組(Base Object Model， BOM)、語意網技術與 Hadoop 雲端運算，並藉由此一般性架構發展旅遊活動 App 推薦帄台(Travel Activity App Recommend Platform，TAARP)做為驗證一般性架構之案例。TAARP 在語意推薦部分以 BOM 的 Schema 為依據，將 TAARP 使用者所制定的 Mobile App 資料建立一份 BOM， 並透過剖析 BOM 所描述的資料，建立知識本體(Ontology)。而行動用戶的喜好資訊與定位資訊，建立為 RDF(Resource Description Framework)的資料描述，並配合 Rule 所制定的條件，推薦符合使用者需求的 App。最後 TAARP 利用 Hadoop 雲端運算帄台可以快速處理大資料量的優點，來滿足大量行動用戶的需求。本研究透過發展 TAARP 驗證 BOMCOCCF 解決上述研究問題，並透過 Hadoop雲端運算帄台處理，使得行動用戶的效能需求獲得改善。
並列摘要
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.
參考文獻
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