【摘要】：領(lǐng)域本體是指對(duì)特定領(lǐng)域內(nèi)概念及概念間關(guān)系的形式化表達(dá),本質(zhì)上是一種共享的資源描述機(jī)制,用于描述一個(gè)領(lǐng)域內(nèi)的知識(shí)信息,通常采用OWL、RDF等語(yǔ)言描述。領(lǐng)域本體一般采用OWL文件或關(guān)系型數(shù)據(jù)庫(kù)來(lái)存儲(chǔ)。隨著信息獲取、存儲(chǔ)和傳播技術(shù)的飛速發(fā)展,民航突發(fā)事件應(yīng)急管理領(lǐng)域本體面臨復(fù)雜圖數(shù)據(jù)處理的新問(wèn)題。關(guān)系型數(shù)據(jù)庫(kù)與本體數(shù)據(jù)復(fù)雜的圖形結(jié)構(gòu)在模型上的不匹配從根本上制約了大規(guī)模本體數(shù)據(jù)的處理能力。Neo4j是當(dāng)前比較成熟且高性能的開(kāi)源圖數(shù)據(jù)庫(kù),遵循屬性圖數(shù)據(jù)模型,其完全支持ACID事務(wù)、支持海量數(shù)據(jù)及迅速的圖查詢等特點(diǎn),可以較好地解決領(lǐng)域本體復(fù)雜的圖結(jié)構(gòu)問(wèn)題。為此,本文將Neo4j圖數(shù)據(jù)庫(kù)存儲(chǔ)技術(shù)方法與民航突發(fā)事件應(yīng)急管理領(lǐng)域本體相結(jié)合,進(jìn)行了以下的研究:(1)在分析民航突發(fā)事件應(yīng)急管理領(lǐng)域本體RDF數(shù)據(jù)存儲(chǔ)與應(yīng)用現(xiàn)狀的基礎(chǔ)上,提出了一種基于Neo4j的領(lǐng)域本體RDF圖數(shù)據(jù)存儲(chǔ)方法,通過(guò)領(lǐng)域本體RDF有向標(biāo)記圖與Neo4j圖數(shù)據(jù)庫(kù)映射模型的構(gòu)建,給出了RDF圖與Neo4j圖之間的映射規(guī)則定義,在此基礎(chǔ)上,采用與MySQL存儲(chǔ)方案相比較的方法,進(jìn)一步驗(yàn)證了該存儲(chǔ)方案的高效性,解決了民航突發(fā)事件應(yīng)急管理領(lǐng)域本體RDF圖數(shù)據(jù)的存儲(chǔ)與查詢效率低的問(wèn)題。(2)針對(duì)Neo4j圖數(shù)據(jù)庫(kù)不支持分布式處理的問(wèn)題,設(shè)計(jì)了一個(gè)邏輯處理層來(lái)負(fù)責(zé)分布式相關(guān)的邏輯處理以支持Neo4j的領(lǐng)域本體分布式存儲(chǔ),給出了分布式擴(kuò)展的總體存儲(chǔ)框架,并對(duì)該存儲(chǔ)框架中主要模塊的設(shè)計(jì)細(xì)節(jié)與相關(guān)算法進(jìn)行了闡述,采用基于動(dòng)態(tài)圖數(shù)據(jù)流的劃分方法,實(shí)現(xiàn)了民航突發(fā)事件應(yīng)急管理領(lǐng)域本體RDF圖的動(dòng)態(tài)劃分,并通過(guò)實(shí)驗(yàn)驗(yàn)證了該分布式存儲(chǔ)的特性,為基于圖數(shù)據(jù)的民航突發(fā)事件應(yīng)急管理領(lǐng)域本體的大數(shù)據(jù)應(yīng)用提供了方法支撐。
[Abstract]:Domain ontology is a formal representation of concepts and their relationships within a particular domain. In essence, it is a shared resource description mechanism, which is used to describe knowledge information in a domain, usually in OWL,RDF and other languages. Domain ontology is generally stored in OWL files or relational databases. With the rapid development of information acquisition, storage and dissemination technology, the field of emergency management of civil aviation emergencies faces a new problem of complex graph data processing. The mismatch between the complex graph structure of relational database and ontology data fundamentally restricts the processing ability of large-scale ontology data. Neo4j is a mature and high performance open source graph database which follows the attribute graph data model. It fully supports ACID transactions, supports massive data and quick graph query, and can solve the complex graph structure problem of domain ontology. Therefore, this paper combines Neo4j map database storage method with civil aviation emergency management domain ontology, and carries out the following research: (1) on the basis of analyzing the current situation of RDF data storage and application in civil aviation emergency management domain, A data storage method of domain ontology RDF graph based on Neo4j is proposed. The mapping rules between RDF graph and Neo4j graph are defined by constructing the mapping model of domain ontology RDF directed label graph and Neo4j graph database. Compared with the MySQL storage scheme, the efficiency of the storage scheme is further verified. The problem of storage and query efficiency of ontology RDF graph data in the field of civil aviation emergency management is solved. (2) the Neo4j graph database does not support distributed processing. In this paper, a logical processing layer is designed to be responsible for distributed logic processing to support the distributed storage of domain ontology in Neo4j, and the general storage framework of distributed extension is given. The design details and related algorithms of the main modules in the storage framework are described. The dynamic partition of the ontology RDF diagram in the field of emergency management of civil aviation emergencies is realized by using the partition method based on the data flow of the dynamic graph. The characteristic of distributed storage is verified by experiments, which provides the method support for big data application of civil aviation emergency management field based on graph data.
【學(xué)位授予單位】：中國(guó)民航大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TP311.13

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本文編號(hào)：2285850