本文選題：本體 + 語義物聯(lián)網(wǎng)　； 參考：《大連海事大學》2017年碩士論文

【摘要】：語義物聯(lián)網(wǎng)環(huán)境下的前端傳感器設備具有感知和標識能力,其數(shù)據(jù)特點是龐雜繁多且較為分散,受限于前端感知設備儲存和處理數(shù)據(jù)的能力,需要依賴云計算技術(shù)強勁的運算能力以降低終端設備本身的復雜性。而目前而言,不同的云服務提供商在服務描述、服務規(guī)格等方面并沒有統(tǒng)一的標準,并且存在著大量功能相似的冗余現(xiàn)象,在云服務數(shù)量不斷增加的情況下,傳統(tǒng)的基于關(guān)鍵字搜索很難從海量異構(gòu)云服務中準確而高效地發(fā)現(xiàn)合適的服務信息,云服務協(xié)同問題日益突出。為了解決標準的缺失導致目前云服務協(xié)同水平難以滿足用戶需求這一問題,本文提出了一種本體驅(qū)動的語義物聯(lián)網(wǎng)云服務協(xié)同方法。本論文基于OWL本體來實現(xiàn)語義物聯(lián)網(wǎng)環(huán)境下云服務協(xié)同,參照國外研究機構(gòu)對于語義協(xié)同、互操作、云服務語義表示等相關(guān)領(lǐng)域的研究成果,提出語義物聯(lián)網(wǎng)環(huán)境下本體驅(qū)動的云服務協(xié)同框架。首先,通過基于REVERB的信息抽取和基于WordNet的概念擴展,對云服務描述信息和需求信息分別進行預處理,并得到特定格式的描述文件;接著,針對預處理后的云服務描述信息進行語義標注,并將TF-JDF權(quán)重與本體語義距離相結(jié)合構(gòu)建云服務的語義索引,經(jīng)過匹配模塊處理后獲取到符合用戶指定功能要求的云服務信息;然后,通過參考語義物聯(lián)網(wǎng)云服務的服務質(zhì)量參數(shù)并充分考慮到用戶需求的不確定性,定義了云服務QoS屬性信息五元組表示形式,并采用基于模糊QoS的云服務選擇算法,將服務請求結(jié)果按計算出的綜合滿意程度排序并反饋給用戶。為了驗證上述方法在語義物聯(lián)網(wǎng)環(huán)境下的有效性,本論文最終設計并實現(xiàn)了本體驅(qū)動的語義物聯(lián)網(wǎng)云服務協(xié)同原型系統(tǒng)。該系統(tǒng)從功能上分為信息預處理模塊、云服務語義匹配模塊、云服務目錄管理模塊以及云服務選擇模塊,分別實現(xiàn)了云服務信息的預處理、構(gòu)建基于本體的云服務目錄、云服務語義匹配及基于模糊QoS的云服務選擇功能。通過實驗數(shù)據(jù)對該系統(tǒng)的查準率和召回率進行綜合考量,實驗結(jié)果表明該方法可以針對用戶需求提供更加合適的云服務信息供用戶選擇。
[Abstract]:The front-end sensor devices in the semantic Internet of things environment have the ability of perception and identification, and their data is characterized by a large variety and relatively scattered, limited by the front-end sensing devices' ability to store and process data. Rely on the strong computing power of cloud computing technology to reduce the complexity of the terminal device itself. However, at present, different cloud service providers do not have uniform standards in service description, service specification and other aspects, and there are a large number of similar redundancy phenomena, in the case of increasing number of cloud services, Traditional keyword-based search is difficult to find the appropriate service information accurately and efficiently from massive heterogeneous cloud services, and the problem of cloud service collaboration is becoming more and more prominent. In order to solve the problem that the level of cloud service collaboration is difficult to meet the needs of users due to the lack of standards, this paper proposes an ontology-driven method for cloud service collaboration in the semantic Internet of things. This thesis is based on OWL ontology to realize cloud service collaboration in the environment of semantic Internet of things, referring to the research results of foreign research institutions on semantic collaboration, interoperability, semantic representation of cloud services, and so on. An ontology driven cloud service collaboration framework is proposed in the semantic Internet of things environment. Firstly, through the information extraction based on REVERB and the concept extension based on WordNet, the description information and requirement information of cloud services are preprocessed, and a description file with specific format is obtained. The semantic index of cloud service is constructed by combining TF-JDF weight with semantic distance of ontology. After processing by matching module, the information of cloud service can be obtained according to the requirement of user specified function. Then, by referring to the QoS parameters of the semantic Internet of things cloud services and taking full account of the uncertainty of user requirements, the five-tuple representation of cloud service QoS attribute information is defined, and the cloud service selection algorithm based on fuzzy QoS is adopted. The service request results are sorted according to the calculated overall satisfaction and fed back to the user. In order to verify the effectiveness of the above methods in the semantic Internet of things environment, this paper finally designed and implemented the ontology driven semantic Internet of things cloud service collaborative prototype system. The system is divided into information preprocessing module, cloud service semantic matching module, cloud service directory management module and cloud service selection module. Cloud service semantic matching and cloud service selection based on fuzzy QoS. The experimental results show that the proposed method can provide more appropriate cloud service information for users to choose from.
【學位授予單位】：大連海事大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TP391.44;TN929.5;TP393.09

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