【摘要】：隨著物聯(lián)網(wǎng)實(shí)體設(shè)備的快速增加,物聯(lián)網(wǎng)開始面臨異構(gòu)化實(shí)體協(xié)同工作的問題。目前有研究將面向服務(wù)的跨平臺(tái)思想和語義Web技術(shù)引入到物聯(lián)網(wǎng)中,將物理世界中的實(shí)體功能用服務(wù)化的形式進(jìn)行描述和訪問。并通過服務(wù)發(fā)現(xiàn)技術(shù)發(fā)現(xiàn)可協(xié)作的服務(wù)鏈,進(jìn)一步獲取可執(zhí)行服務(wù)的實(shí)體,從而使異構(gòu)實(shí)體能夠通過Web服務(wù)進(jìn)行協(xié)作,解決實(shí)體協(xié)作問題。實(shí)體語義標(biāo)注是運(yùn)用語義Web服務(wù)發(fā)現(xiàn)技術(shù)的基礎(chǔ),是解決實(shí)體功能服務(wù)化和語義化描述問題的關(guān)鍵。因此,如何進(jìn)行面向服務(wù)的實(shí)體語義標(biāo)注成為亟待解決的問題。然而,現(xiàn)有的實(shí)體語義標(biāo)注框架未考慮到物聯(lián)網(wǎng)實(shí)體的狀態(tài)可變性,實(shí)體與服務(wù)的耦合度過高。針對(duì)現(xiàn)有研究結(jié)果的不足,本文提出了一種面向服務(wù)的實(shí)體語義標(biāo)注框架。該框架將實(shí)體不變的功能描述和可變的狀態(tài)描述分離開來,使得物理層實(shí)體和邏輯層服務(wù)的關(guān)聯(lián)松耦合。針對(duì)所提出的實(shí)體語義標(biāo)注框架,提出實(shí)體語義標(biāo)注本體模型。采用OWL描述邏輯對(duì)實(shí)體的基本信息、狀態(tài)以及功能信息進(jìn)行描述,并建立實(shí)體功能與語義Web服務(wù)之間的關(guān)聯(lián)關(guān)系。為服務(wù)發(fā)現(xiàn)提供了發(fā)現(xiàn)可用執(zhí)行實(shí)體的描述基礎(chǔ)。針對(duì)實(shí)體功能與服務(wù)關(guān)聯(lián)所可能導(dǎo)致的服務(wù)繁雜冗余的問題,提出了一種面向服務(wù)的聚類標(biāo)注算法。首先針對(duì)現(xiàn)有方法的不足,提出了基于I/O混合匹配與關(guān)鍵字匹配的服務(wù)相似度計(jì)算方法。然后,對(duì)相似度高的服務(wù)進(jìn)行聚類和中心服務(wù)標(biāo)注。并通過實(shí)驗(yàn)與對(duì)比分析,證明了該算法對(duì)服務(wù)發(fā)現(xiàn)效率的提高�；谏鲜鲅芯砍晒�,本文設(shè)計(jì)并實(shí)現(xiàn)了基于實(shí)體語義標(biāo)注的服務(wù)發(fā)現(xiàn)系統(tǒng)。首先,闡述該系統(tǒng)的總體設(shè)計(jì);然后對(duì)語義標(biāo)注實(shí)例生成模塊、面向服務(wù)的聚類標(biāo)注模塊以及標(biāo)注實(shí)例解析與篩選模塊的設(shè)計(jì)及實(shí)現(xiàn)進(jìn)行了詳細(xì)闡述。最后,以可被感知的物流運(yùn)輸為背景,對(duì)服務(wù)發(fā)現(xiàn)系統(tǒng)進(jìn)行測(cè)試與分析。首先,構(gòu)建實(shí)體語義標(biāo)注實(shí)例和語義Web服務(wù)。然后,設(shè)計(jì)服務(wù)請(qǐng)求,包括服務(wù)的功能請(qǐng)求以及對(duì)實(shí)體狀態(tài)的要求。最后,對(duì)系統(tǒng)的運(yùn)行結(jié)果進(jìn)行分析。實(shí)驗(yàn)結(jié)果證明了本文所提出的實(shí)體語義標(biāo)注框架的有效性。
[Abstract]:With the rapid increase of physical devices in the Internet of things, the Internet of things begins to face the problem of isomerization entities working together. At present, some researches have introduced service-oriented cross-platform thinking and semantic Web technology into the Internet of things, describing and accessing entity functions in the physical world in the form of service. The cooperative service chain can be found by service discovery technology, and the entity of executable service can be obtained further, so that the heterogeneous entity can collaborate through Web services and solve the problem of entity collaboration. Entity semantic annotation is the basis of using semantic Web service discovery technology and the key to solve the problem of entity function service and semantic description. Therefore, how to carry on the service-oriented entity semantic annotation becomes an urgent problem to be solved. However, the existing entity semantic annotation framework does not take into account the state variability of the entities in the Internet of things, and the coupling degree between entities and services is too high. This paper proposes a service-oriented semantic annotation framework for entities in view of the shortcomings of existing research results. The framework separates the entity invariant function description from the variable state description, which makes the physical layer entity and the logical layer service association loosely coupled. Aiming at the proposed framework of entity semantic annotation, an ontology model of entity semantic annotation is proposed. The basic information, state and function information of entities are described by OWL description logic, and the relationship between entity functions and semantic Web services is established. Provides a description basis for discovery of available execution entities for service discovery. In order to solve the problem of service redundancy caused by entity function and service association, a service-oriented clustering algorithm is proposed. Firstly, a service similarity calculation method based on I / O hybrid matching and keyword matching is proposed to overcome the shortcomings of the existing methods. Then, the services with high similarity are clustered and labeled with central services. Experiments and comparative analysis show that the algorithm can improve the efficiency of service discovery. Based on the above research results, this paper designs and implements a service discovery system based on entity semantic annotation. First, the overall design of the system is described, and then the design and implementation of the semantic annotation case generation module, the service-oriented clustering annotation module and the annotation case analysis and screening module are described in detail. Finally, the service discovery system is tested and analyzed in the context of perceived logistics transportation. Firstly, the entity semantic annotation instance and semantic Web service are constructed. Then, the service request is designed, including the function request of the service and the requirement of entity state. Finally, the operating results of the system are analyzed. The experimental results show the effectiveness of the proposed framework.
【學(xué)位授予單位】：華南理工大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2015
【分類號(hào)】：TP391.1;TP391.44;TN929.5

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本文編號(hào)：2186786