【摘要】：領(lǐng)域本體是指對特定領(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制,用于描述一個領(lǐng)域內(nèi)的知識信息,通常采用OWL、RDF等語言描述。領(lǐng)域本體一般采用OWL文件或關(guān)系型數(shù)據(jù)庫來存儲。隨著信息獲取、存儲和傳播技術(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)處理的新問題。關(guān)系型數(shù)據(jù)庫與本體數(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源圖數(shù)據(jù)庫,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,可以較好地解決領(lǐng)域本體復(fù)雜的圖結(jié)構(gòu)問題。為此,本文將Neo4j圖數(shù)據(jù)庫存儲技術(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)存儲方法,通過領(lǐng)域本體RDF有向標(biāo)記圖與Neo4j圖數(shù)據(jù)庫映射模型的構(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存儲方案相比較的方法,進(jìn)一步驗證了該存儲方案的高效性,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)的存儲與查詢效率低的問題。(2)針對Neo4j圖數(shù)據(jù)庫不支持分布式處理的問題,設(shè)計了一個邏輯處理層來負(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,給出了分布式擴展的總體存儲框架,并對該存儲框架中主要模塊的設(shè)計細(xì)節(jié)與相關(guān)算法進(jìn)行了闡述,采用基于動態(tài)圖數(shù)據(jù)流的劃分方法,實現(xiàn)了民航突發(fā)事件應(yīng)急管理領(lǐng)域本體RDF圖的動態(tài)劃分,并通過實驗驗證了該分布式存儲的特性,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】：中國民航大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TP311.13

【參考文獻(xiàn)】

相關(guān)期刊論文 前9條

1 王紅;孫康;;基于HBase的領(lǐng)域本體存儲方法及其應(yīng)用研究[J];計算機工程與科學(xué);2016年07期

2 徐德智;劉揚;Sarfraz Ahmed;;基于Hadoop的RDF數(shù)據(jù)存儲及查詢優(yōu)化[J];計算機應(yīng)用研究;2017年02期

3 康杰華;羅章璇;;基于圖形數(shù)據(jù)庫Neo4j的RDF數(shù)據(jù)存儲研究[J];信息技術(shù);2015年06期

4 佟強;張富;程經(jīng)緯;馬宗民;;RDF在關(guān)系數(shù)據(jù)庫中的存儲研究[J];東北大學(xué)學(xué)報(自然科學(xué)版);2015年03期

5 項靈輝;顧進(jìn)廣;吳鋼;;基于圖數(shù)據(jù)庫的RDF數(shù)據(jù)分布式存儲[J];計算機應(yīng)用與軟件;2014年11期

6 盧傳耀;;基于面向文檔的NoSQL數(shù)據(jù)庫的RDF數(shù)據(jù)存儲實現(xiàn)[J];電子技術(shù)與軟件工程;2013年22期

7 朱敏;程佳;柏文陽;;一種基于HBase的RDF數(shù)據(jù)存儲模型[J];計算機研究與發(fā)展;2013年S1期

8 王紅;高斯婷;潘振杰;肖志偉;;基于NNV關(guān)聯(lián)規(guī)則的非分類關(guān)系提取方法及其應(yīng)用研究[J];計算機應(yīng)用研究;2012年10期

9 王紅;楊璇;王靜;李林;;基于本體的民航應(yīng)急決策知識表達(dá)與推理方法研究[J];計算機工程與科學(xué);2011年04期

相關(guān)碩士學(xué)位論文 前3條

1 楊夢倫;基于圖的RDF數(shù)據(jù)存儲及查詢方法的研究與實現(xiàn)[D];北京交通大學(xué);2015年

2 張偉奇;基于關(guān)系型數(shù)據(jù)庫的RDF存儲引擎[D];天津大學(xué);2012年

3 周文健;基于語義距離的RDF本體查詢方法研究[D];東北大學(xué);2011年

，

本文編號：2285850