本文關(guān)鍵詞：基于領(lǐng)域本體的分布式推理與查詢方法研究　出處：《中國民航大學(xué)》2017年碩士論文　論文類型：學(xué)位論文

  更多相關(guān)文章： 民航突發(fā)事件 領(lǐng)域本體 RDF MapReduce 分布式推理 分布式查詢

【摘要】：民航突發(fā)事件應(yīng)急管理領(lǐng)域本體是對(duì)突發(fā)事件應(yīng)急處置中的概念、概念間關(guān)系和實(shí)例的描述,為民航應(yīng)急管理領(lǐng)域知識(shí)的表達(dá)與共享、應(yīng)急救援方案的推理奠定了良好的基礎(chǔ)。隨著信息獲取和傳播技術(shù)的飛速發(fā)展,網(wǎng)絡(luò)多媒體資源迅速猛增,以SWRL規(guī)則為基礎(chǔ)的領(lǐng)域本體推理難以適應(yīng)大數(shù)據(jù)環(huán)境下分布式推理與查詢的應(yīng)用需求。為此,本文將MapReduce分布式計(jì)算引入民航突發(fā)事件應(yīng)急管理領(lǐng)域本體的推理與查詢,進(jìn)行了以下的研究:(1)提出了一種基于RDFS的領(lǐng)域本體分布式推理方法,通過領(lǐng)域本體數(shù)據(jù)的預(yù)處理和RDFS推理規(guī)則設(shè)計(jì),給出了將RDFS規(guī)則推理特征與MapReduce分布式計(jì)算相結(jié)合的推理過程,實(shí)驗(yàn)結(jié)果與WebPIE推理方法進(jìn)行了比較,驗(yàn)證了該推理方法的有效性,解決了民航突發(fā)事件應(yīng)急管理領(lǐng)域本體推理效率低的問題。(2)在對(duì)領(lǐng)域本體分布式推理研究的基礎(chǔ)之上,進(jìn)一步研究了領(lǐng)域本體分布式查詢方法,詳細(xì)論述了分布式查詢關(guān)鍵算法的設(shè)計(jì)與實(shí)現(xiàn)過程,并采用貪心選擇策略對(duì)查詢過程進(jìn)行優(yōu)化,實(shí)現(xiàn)了MapReduce的一次迭代查詢,實(shí)驗(yàn)結(jié)果驗(yàn)證了該方法在查詢效率方面的明顯優(yōu)勢,為基于分布式推理的民航突發(fā)事件關(guān)聯(lián)分析提供了方法支撐。
[Abstract]:The domain ontology of civil aviation emergency management is the concept of emergency management, the relationship between concepts and the description of examples, which is the expression and sharing of knowledge in civil aviation emergency management. With the rapid development of information acquisition and communication technology, the multimedia resources of network are rapidly increasing. Domain Ontology reasoning based on SWRL rules is difficult to adapt to the application of distributed reasoning and query in big data environment. In this paper, MapReduce distributed computing is introduced into the reasoning and query of civil aviation emergency management domain ontology. The following research is done: 1) A distributed reasoning method of domain ontology based on RDFS is proposed, which is based on the preprocessing of domain ontology data and the design of RDFS inference rules. The reasoning process combining RDFS rule reasoning features with MapReduce distributed computing is presented. The experimental results are compared with WebPIE reasoning methods. The validity of the reasoning method is verified, and the problem of low efficiency of ontology reasoning in the field of civil aviation emergency management is solved, which is based on the research of distributed reasoning of domain ontology. Furthermore, the distributed query method of domain ontology is studied, the design and implementation of the key algorithm of distributed query are discussed in detail, and the greedy selection strategy is used to optimize the query process. An iterative query based on MapReduce is implemented. The experimental results show that this method has obvious advantages in query efficiency and provides a method support for civil aviation emergency association analysis based on distributed reasoning.
【學(xué)位授予單位】：中國民航大學(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)：1441180