【摘要】：隨著互聯(lián)網(wǎng)上Web服務(wù)大量涌現(xiàn)，在語義層面上挖掘并分析Internet上Web服務(wù)間競爭或者協(xié)作關(guān)系將是構(gòu)建新的、基于相關(guān)關(guān)系的服務(wù)管理、服務(wù)發(fā)現(xiàn)及服務(wù)組合算法的基礎(chǔ)。 在利用本體擴(kuò)展服務(wù)語義的基礎(chǔ)上，本文基于語義匹配挖掘Web服務(wù)間的關(guān)聯(lián)關(guān)系。首先仔細(xì)研究了本體中的語義關(guān)系，并根據(jù)服務(wù)文件的結(jié)構(gòu)特性，自底向上地詳細(xì)定義了參數(shù)級、集合級、操作級語義關(guān)系。其次，提出了服務(wù)關(guān)系挖掘的算法及其實(shí)現(xiàn)，具體包括：參數(shù)關(guān)系挖掘、抽象服務(wù)生成與合并、抽象服務(wù)關(guān)系挖掘、具體服務(wù)關(guān)系驗(yàn)證。最終得到一個(gè)由抽象服務(wù)層和具體服務(wù)層構(gòu)成的依賴于本體庫的語義Web服務(wù)網(wǎng)絡(luò)，，其中具體服務(wù)按照功能語義映射到抽象服務(wù)。再次，本文提出了關(guān)系挖掘在Services Network平臺的調(diào)度機(jī)制及實(shí)現(xiàn)方式。最后，利用從互聯(lián)網(wǎng)上抓取的10000+個(gè)真實(shí)的Web服務(wù)對服務(wù)關(guān)系挖掘算法進(jìn)行驗(yàn)證。 綜上所述，本文利用本體對Web服務(wù)標(biāo)注的結(jié)果，依據(jù)服務(wù)操作的功能語義即輸入、輸出參數(shù)的集合語義挖掘服務(wù)關(guān)系，最終構(gòu)建能夠?yàn)樽詣踊姆⻊?wù)發(fā)現(xiàn)和服務(wù)組合提供極大便利的服務(wù)關(guān)系網(wǎng)絡(luò)。
[Abstract]:With the emergence of Web services on the Internet, mining and analyzing the competition or collaboration among Web services on Internet at semantic level will be the basis of constructing new service management, service discovery and service composition algorithms based on correlation relationship. On the basis of extending service semantics by ontology, this paper exploits the association relationship between Web services based on semantic matching. Firstly, the semantic relation in ontology is studied carefully, and the parameter level, set level and operation level semantic relation are defined from bottom up according to the structure characteristic of service file. Secondly, the algorithm and its implementation of service relation mining are proposed, including: parameter relation mining, abstract service relation mining and concrete service relationship verification. Finally, a semantic Web service network based on ontology library is obtained, which is composed of abstract service layer and concrete service layer, in which specific services are mapped to abstract services according to functional semantics. Thirdly, this paper proposes the scheduling mechanism and implementation of relational mining on Services Network platform. Finally, 10000 real Web services captured from the Internet are used to verify the algorithm of service relationship mining. To sum up, this paper uses ontology to annotate Web services, mining service relationships according to the functional semantics of service operations, namely, the set semantics of input and output parameters. Finally, a service relationship network can be constructed which can provide great convenience for automated service discovery and service composition.
【學(xué)位授予單位】：天津大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2014
【分類號】：TP393.09;TP391.1

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