本文關(guān)鍵詞：面向集團(tuán)企業(yè)的數(shù)據(jù)集成模型構(gòu)建方法研究　出處：《天津大學(xué)》2013年博士論文　論文類型：學(xué)位論文

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【摘要】：在我國當(dāng)前的經(jīng)濟(jì)環(huán)境中，集團(tuán)型企業(yè)具有舉足輕重的作用。大型企業(yè)往往組織結(jié)構(gòu)形態(tài)復(fù)雜、具有多級(jí)下屬分支機(jī)構(gòu)、人員眾多而且隸屬關(guān)系復(fù)雜、業(yè)務(wù)分布在多個(gè)行業(yè)、經(jīng)營地域分布廣、管理模式多樣、需要全方位的協(xié)同工作等特點(diǎn)。集團(tuán)企業(yè)的大量信息散落在不同的子公司、不同部門、人員等處，信息的來源復(fù)雜，，信息量非常大，整合性很差，為企業(yè)的生產(chǎn)管理的決策帶來具大的挑戰(zhàn)。 隨著云計(jì)算的落地生根和技術(shù)的發(fā)展成熟,企業(yè)管理型應(yīng)用向云計(jì)算環(huán)境下移植和部署的大背景下，集團(tuán)企業(yè)迫切需要通過多數(shù)據(jù)源以及多數(shù)據(jù)中心的協(xié)作，實(shí)現(xiàn)將現(xiàn)有不同信息系統(tǒng)中分布且異構(gòu)的數(shù)據(jù)集成起來。 數(shù)據(jù)集成能夠簡化企業(yè)的業(yè)務(wù)流程和工作成本，實(shí)現(xiàn)企業(yè)從數(shù)據(jù)中獲取商業(yè)利益的目的。所以數(shù)據(jù)集成已成為企業(yè)的一項(xiàng)戰(zhàn)略性工作，是提高企業(yè)核心競爭力的重要基石。通過數(shù)據(jù)集成可以使集團(tuán)成員企業(yè)共享分布式數(shù)據(jù)，使新業(yè)務(wù)的開拓，集團(tuán)領(lǐng)導(dǎo)的監(jiān)管，風(fēng)險(xiǎn)的防范成為可能。 本文提出了云計(jì)算下基于本體的異構(gòu)數(shù)據(jù)集成模型，該模型基于本體理論，按照云環(huán)境特點(diǎn)構(gòu)建，支持各種傳統(tǒng)存儲(chǔ)和云存儲(chǔ)的數(shù)據(jù)集成，滿足企業(yè)用戶對(duì)高并發(fā)訪問以及對(duì)海量數(shù)據(jù)高效存儲(chǔ)的需求，同時(shí)還要滿足集團(tuán)企業(yè)對(duì)存儲(chǔ)數(shù)據(jù)高擴(kuò)展性和高可用性以及對(duì)數(shù)據(jù)事務(wù)一致性的需求。完成集團(tuán)企業(yè)信息化應(yīng)用在云上的部署和遷移，促進(jìn)企業(yè)信息化的發(fā)展和提升。本文工作和主要貢獻(xiàn)包括以下幾點(diǎn)：（1）從云計(jì)算和云存儲(chǔ)的理論和模型出發(fā)，面向大規(guī)模的數(shù)據(jù)密集應(yīng)用，提供面向用戶透明的異構(gòu)數(shù)據(jù)集成和訪問接口服務(wù)；（2）通過將云計(jì)算環(huán)境下異構(gòu)數(shù)據(jù)集成所需要的各種基本服務(wù)分層的組織起來，為用戶將現(xiàn)有異構(gòu)數(shù)據(jù)應(yīng)用向云計(jì)算環(huán)境的遷移與集成提供一種更高級(jí)的抽象服務(wù)，并可以將用戶的異構(gòu)數(shù)據(jù)應(yīng)用無縫的映射為云計(jì)算環(huán)境下統(tǒng)一的數(shù)據(jù)服務(wù)和行為；（3）根據(jù)用戶需要，提供云計(jì)算環(huán)境下各種業(yè)務(wù)應(yīng)用數(shù)據(jù)的集中管理和統(tǒng)一處理，實(shí)現(xiàn)異構(gòu)數(shù)據(jù)統(tǒng)一的檢索與處理，以及業(yè)務(wù)應(yīng)用所需的異構(gòu)數(shù)據(jù)之間的實(shí)質(zhì)性關(guān)聯(lián)與映射；（4）本文提出的模型能夠?qū)崿F(xiàn)對(duì)云計(jì)算環(huán)境中各種關(guān)系型以及非關(guān)系型異構(gòu)數(shù)據(jù)的智能集成，滿足用戶高并發(fā)、高負(fù)載、高速處理海量數(shù)據(jù)的復(fù)雜多表關(guān)聯(lián)查詢請(qǐng)求。 因此，集團(tuán)企業(yè)通過數(shù)據(jù)集成能夠獲取業(yè)務(wù)所需的及時(shí)且準(zhǔn)確的信息，幫助企業(yè)進(jìn)行預(yù)先控制和集成管理。集團(tuán)企業(yè)實(shí)現(xiàn)了高度的數(shù)據(jù)集成，才能夠真正對(duì)成員企業(yè)和個(gè)人進(jìn)行有效監(jiān)控，保證業(yè)務(wù)執(zhí)行的及時(shí)和準(zhǔn)確，提高企業(yè)的服務(wù)質(zhì)量和工作效率，促進(jìn)人力資源的統(tǒng)一調(diào)配，充分發(fā)揮企業(yè)海量數(shù)據(jù)的商業(yè)價(jià)值。
[Abstract]:In the current economic environment of our country, group enterprises play an important role. Large enterprises often have complex organizational structure, multi-level subordinate branches, numerous personnel and complex subordinate relationship. The business is distributed in many industries, the management region is wide, the management mode is diverse, and needs the omni-directional cooperative work and so on. A large amount of information of the group enterprise is scattered in different subsidiary company, different department, personnel and so on. The source of information is complex, the amount of information is very large, and the integration is very poor, which brings great challenges to the decision of enterprise production management. With the development of cloud computing technology, enterprise management applications to the cloud computing environment migration and deployment background, group enterprises urgently need through multi-data sources and multi-data center collaboration. Implement the integration of distributed and heterogeneous data in existing different information systems. Data integration can simplify the business process and work cost of enterprises and achieve the purpose of obtaining business benefits from data, so data integration has become a strategic work of enterprises. Through data integration, distributed data can be shared by group members, which makes it possible to develop new business, supervise group leaders and guard against risks. This paper proposes a heterogeneous data integration model based on ontology in cloud computing. The model is based on ontology theory and is constructed according to the characteristics of cloud environment. It supports data integration of traditional storage and cloud storage. To meet the needs of enterprise users for high concurrent access and efficient storage of mass data. At the same time, it also needs to meet the needs of high scalability and high availability of storage data and consistency of data transactions in order to complete the deployment and migration of group enterprise information applications on the cloud. The main contributions of this paper include the following points: 1) from the theory and model of cloud computing and cloud storage, oriented to large-scale data intensive applications. Provide user transparent heterogeneous data integration and access interface services; By organizing the various basic services required for heterogeneous data integration in cloud computing environments. It provides a more advanced abstract service for users to migrate and integrate existing heterogeneous data applications to cloud computing environment. The heterogeneous data application of users can be seamlessly mapped to uniform data services and behaviors in cloud computing environment. According to the needs of users, it provides centralized management and unified processing of all kinds of business application data in cloud computing environment, and realizes the unified retrieval and processing of heterogeneous data. And the substantial association and mapping between the heterogeneous data needed by the business application; 4) the model proposed in this paper can realize the intelligent integration of relational and non-relational heterogeneous data in cloud computing environment, and meet the high concurrency and high load of users. High-speed processing of complex multi-table association query requests for massive data. Therefore, the group enterprise can obtain the timely and accurate information needed by the business through data integration, which helps the enterprise to carry on the advance control and the integration management. The group enterprise realizes the high degree of data integration. In order to truly monitor the member enterprises and individuals effectively, ensure the timely and accurate implementation of business, improve the service quality and work efficiency of enterprises, promote the unified deployment of human resources. Give full play to the business value of massive data.
【學(xué)位授予單位】：天津大學(xué)
【學(xué)位級(jí)別】：博士
【學(xué)位授予年份】：2013
【分類號(hào)】：TP3;F270.7;F276.4

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