整合情境感知與語意網技術於雲端運算環境

由於無線網路的普及，造就現今人手一支智慧型手機的社會，手機應用越來越廣泛，使用者透過手機處理資訊隨著增加，如運動相關的APP、購物記帳的APP等等。此資訊都須使用者一一輸入，並過濾訊息，且APP的領域不盡相同，而隨著技術的發展，有許多的情境感知技術應用來收集資訊並提供服務。透過此模式並結合多方的領域，來達到資訊的交換。因此本研究提出具語意情境服務之雲端運算架構(An Integrated Cloud Computing of Semantic-Aware Services Structure, ICCSASS)，運用知識本體(Ontology)來建立領域的相關資訊，並將領域的資訊關係連結，其情境資訊包含使用者情境資訊(User Context)和實體環境情境資訊(Physical Context)，讓使用者環境資訊可被判讀，並將知識本體運用於情境感知的服務中，以及使用者情境資訊，透過雲端運算可推薦使用者相關資訊，並讓架構是可具有大資料量的功能，為此本研究是以電子發票為接口來實行的智能感知發票平台(Smart Context-aware Invoice Platform, SCIP)來進行實現，包括三個階段食物熱量、運動感測與健康狀態提醒。而情境資訊的判讀，本研究使用SVMV 演法算來幫助使用者自動分類購物商品，並讓此資訊產生文檔提供資訊給雲端運算和語意網的應用。故本研究提出智能感知發票平台，將語意技術及Hadoop技術整合於情境感知收集資訊應用及分析上，來達到其情境資訊的處理效能及服務。

關鍵字

情境感知；雲端運算；語意網； Hadoop

並列摘要

The prevalent use of wireless network has created a society in which every person owns a smartphone; thus, mobile phones are increasing in popularity. In addition, users frequently access information by using mobile phone applications (app), such as sport-related apps, shopping apps, and expense-recording apps. However, users are required to individually input information and filter messages. Nevertheless, as technologies advance, diverse apps are now available and numerous context-aware technologies are applied to collect information and provide services. Therefore, by using context-aware models in various domains, information exchange is achieved. In this study, an integrated cloud computing of sematic-aware service structure (ICCSASS) was proposed, and ontology data were employed to establish domain-related information. Subsequently, the relationship exhibited within this information was linked. In this domain-related information, the contextual information involved user context and physical context, thus enabling user and environment-related information to be interpreted. In addition, the ontology data were integrated into a context-aware service, and user context information was processed using cloud computation to recommend useful information to users. To enhance the storage capacity of the proposed ICCSASS, this study adopted e-invoice as an app interface to develop a smart context-aware invoice platform (SCIP), which comprises three stages, namely food calories, motion sensing, and health status reminder. To interpret context information, this study employed the SVMV algorithm to help users automatically classify the products they wish to purchase and enable such information to be documented for cloud computing and semantic web applications. Overall, the SCIP proposed in this study combines both semantics and Hadoop technologies into applications and analysis for collecting context-aware information to process contextual information and provide context-aware services.

並列關鍵字

Cloud Computing ； Semantic Web ； Context-aware ； Hadoop

參考文獻

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國際替代計量

整合情境感知與語意網技術於雲端運算環境

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