本文選題：事件本體 + 描述邏輯��； 參考：《北京工業(yè)大學(xué)》2015年碩士論文

【摘要】：在我國,煤炭資源仍然在一次性能源結(jié)構(gòu)中占據(jù)很大的比重,我國對煤炭資源的需求仍然很高。作為世界最大的煤炭生產(chǎn)國和消費國,因煤礦事故造成的死亡人數(shù)竟然是其他產(chǎn)煤國家死亡人數(shù)總數(shù)的3倍,這說明我國在煤礦安全事故的處理上還有很大的不足。事故發(fā)生的時候,會因為難以采取及時、科學(xué)的應(yīng)急處理決策,而致使事態(tài)擴(kuò)大或引起次生事故。本文采用面向事件本體的模型來表示煤礦安全事件,在事故發(fā)生后,通過案例推理,將事故處理的解決方案及時提供給決策人員,從而減少事故損失。首先,介紹了事件本體的概念、本體與本體語言、事件本體的相關(guān)定義以及事件間的關(guān)系。介紹了描述邏輯以及描述邏輯與本體語言的關(guān)系,還介紹了本體檢測的基礎(chǔ)Tableau算法。針對案例推理,從案例推理概述、案例推理相關(guān)技術(shù)以及案例推理應(yīng)用領(lǐng)域進(jìn)行了闡述。其次,對事件本體相關(guān)技術(shù)進(jìn)行了大量的研究,通過分析其他案例表示模型在表示煤礦安全事件方面的不足,提出了面向事件本體的案例表示模型。并根據(jù)煤礦安全事件的特點、事件的構(gòu)成及事件之間的關(guān)系,利用本體開發(fā)工具Protege構(gòu)建了煤礦安全事件本體模型,并對數(shù)據(jù)屬性和對象屬性進(jìn)行了定義。還對構(gòu)建好的事件本體進(jìn)行了檢測,以確定事件本體是否存在沖突。再次,案例檢索和案例的相似度計算是案例推理相關(guān)技術(shù)的核心部分,還對這兩個方面進(jìn)行了研究,并依據(jù)煤礦安全事件的特點,提出了改進(jìn)的案例檢索方法和相似度計算方法。最后,將以上研究成果應(yīng)用于煤礦安全事件本體,并設(shè)計和實現(xiàn)了煤礦安全事件本體的案例推理系統(tǒng),選取一個煤礦事故進(jìn)行了案例推理,以展示案例推理工作流程。最后用實驗的方式,將提出的相似度計算方法與向量空間模型相似度計算方法進(jìn)行比較,驗證了該相似度計算方法的有效性和準(zhǔn)確性。
[Abstract]:In China, coal resources still occupy a large proportion in the disposable energy structure, and the demand for coal resources in China is still very high. As the world's largest coal producer and consumer, the death toll caused by coal mine accidents is three times that of other coal-producing countries, which indicates that China still has a lot of shortcomings in dealing with coal mine safety accidents. When an accident occurs, it is difficult to take timely and scientific emergency decision, which causes the situation to expand or cause secondary accident. In this paper, an event-oriented model is used to represent coal mine safety events. After an accident occurs, the solution of accident processing is provided to decision makers in time through case-based reasoning, so as to reduce the loss of accidents. Firstly, the concept of event ontology, ontology and ontology language, the definition of event ontology and the relationship between events are introduced. The description logic and the relation between description logic and ontology language are introduced, and the tableau algorithm based on ontology detection is also introduced. In view of the case-based reasoning (CBR), this paper expounds the general situation of CBR, the related technology of CBR and the application field of CBR. Secondly, a large number of research on event ontology related technology is carried out. By analyzing the shortcomings of other case representation models in the representation of coal mine safety events, an event ontology oriented case representation model is proposed. According to the characteristics of coal mine safety events, the composition of the events and the relationship between the events, the ontology model of coal mine safety events is constructed by using protege, and the data attributes and object attributes are defined. The event ontology was also detected to determine whether the event ontology was in conflict. Thirdly, case retrieval and case similarity calculation are the core of Case-Based reasoning (CBR) technology, and the two aspects are also studied, and according to the characteristics of coal mine safety events, An improved case retrieval method and a similarity calculation method are proposed. Finally, the above research results are applied to the coal mine safety event ontology, and the case-based reasoning system of the coal mine safety event ontology is designed and implemented. A coal mine accident is selected for case-based reasoning to demonstrate the work flow of CBR. Finally, by comparing the proposed similarity calculation method with the vector space model similarity calculation method, the validity and accuracy of the proposed similarity calculation method are verified.
【學(xué)位授予單位】：北京工業(yè)大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2015
【分類號】：TD76;TP391.1

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本文編號：1996706