本文選題：語義網(wǎng)絡　切入點：災害知識表示　出處：《華中科技大學》2013年碩士論文

【摘要】：本文基于災害關聯(lián)性綜合集成研討項目。該項目擬建立一個“專家體系-知識體系-機器體系”的綜合集成研討系統(tǒng)。其中知識體系的建立所面臨的首要問題，便是如何對各種形式的災害知識進行有效的表示、組織與管理。本研究選取了兩種具有代表性的知識——災害關聯(lián)性知識與災害鏈不確定性知識作為研究對象，利用語義網(wǎng)絡表示法進行基本表示，然后結合具體災害知識背景選擇合適的理論對災害知識展開建模研究。 針對災害關聯(lián)性知識的表示研究，首先對災害關聯(lián)性知識進行了基本語義網(wǎng)絡表示并形成了特有的災害關聯(lián)性知識語義網(wǎng)絡。在明確了建模目的之后，借鑒概念語義相似度的模型方法建立了災害知識節(jié)點關聯(lián)度計算模型，用于管理和啟發(fā)潛在未知的關聯(lián)性知識。最后模擬實驗對模型的可用性進行基本檢驗，并闡述了該模型的實用意義。 針對災害鏈不確定性知識的表示研究，利用語義網(wǎng)絡表示法抽象了一個簡單因果型災害鏈模型作為基本研究對象。基于貝葉斯網(wǎng)絡與語義網(wǎng)絡天然的一致性，利用貝葉斯網(wǎng)絡構建了災害鏈概率傳播推理模型，并結合實例演示了該模型對災害鏈不確定性知識的表征程度和應用意義；隨后分析了貝葉斯網(wǎng)絡的靜態(tài)假定限制并由此引出浸潤原理，將靜態(tài)語義網(wǎng)絡推廣到動態(tài)語義網(wǎng)絡，然后通過形式化的定義和描述構建了基于浸潤原理的動態(tài)推理模型，并將該推理模型應用到災害鏈不確定性知識表示中，對模型參數(shù)賦予實際知識情景語義內涵，，通過編寫算法模擬演示了一個災害鏈實例的動態(tài)推理過程，驗證了該模型的動態(tài)表征能力。最后從不同角度比較了兩種知識推理模型，說明了它們在災害鏈不確定性知識表示方面的重要意義。
[Abstract]:This paper is based on the comprehensive research project of disaster relevance.The project aims to establish an integrated research system of expert system-knowledge system-machine system.The most important problem for the establishment of knowledge system is how to express, organize and manage all kinds of disaster knowledge effectively.In this study, two kinds of representative knowledge-disaster related knowledge and disaster chain uncertainty knowledge are selected as the research objects, and the semantic network representation is used to represent them.Then combining with the specific disaster knowledge background to select the appropriate theory to model disaster knowledge.Based on the research on the representation of disaster related knowledge, the basic semantic network of disaster relevance knowledge is first represented and a unique disaster relevance knowledge semantic network is formed.After defining the purpose of modeling, the model method of conceptual semantic similarity is used to establish the model of disaster knowledge node correlation degree, which can be used to manage and enlighten the potentially unknown correlation knowledge.Finally, the model usability is tested by simulation experiments, and the practical significance of the model is expounded.Aiming at the representation of uncertain knowledge of disaster chain, a simple causal disaster chain model is abstracted by semantic network representation as the basic research object.Based on the natural consistency between Bayesian network and semantic network, the probabilistic propagation inference model of disaster chain is constructed by using Bayesian network, and the representation degree and application significance of the model to uncertain knowledge of disaster chain are demonstrated with examples.Then the static assumption limitation of Bayesian network is analyzed and the infiltration principle is derived. The static semantic network is extended to the dynamic semantic network. Then the dynamic inference model based on the infiltration principle is constructed by formal definition and description.The reasoning model is applied to the uncertain knowledge representation of the disaster chain, and the semantic connotation of the actual knowledge situation is assigned to the model parameters. The dynamic reasoning process of a disaster chain case is simulated and demonstrated by programming the algorithm.The dynamic representation ability of the model is verified.Finally, two kinds of knowledge reasoning models are compared from different angles, and their significance in uncertain knowledge representation of disaster chain is explained.
【學位授予單位】：華中科技大學
【學位級別】：碩士
【學位授予年份】：2013
【分類號】：X4;TP18

【參考文獻】

相關期刊論文 前10條

1 趙鵬大,胡光道,李新中;基于語義網(wǎng)絡知識表示的專家系統(tǒng)的設計[J];地球科學;1994年04期

2 韓金良;吳樹仁;汪華斌;;地質災害鏈[J];地學前緣;2007年06期

3 曹紹火;基于語義網(wǎng)絡的神經(jīng)網(wǎng)絡系統(tǒng)[J];計算機工程與應用;2001年11期

4 胡玉勝,涂序彥,崔曉瑜,程乾生;基于貝葉斯網(wǎng)絡的不確定性知識的推理方法[J];計算機集成制造系統(tǒng)-CIMS;2001年12期

5 年志剛;梁式;麻芳蘭;李尚平;;知識表示方法研究與應用[J];計算機應用研究;2007年05期

6 劉小生;潘燕群;;基于OWL的自然災害領域本體的建立[J];黑龍江工程學院學報;2008年02期

7 劉璨;基于特征的零件知識語義網(wǎng)絡表示法[J];機電工程技術;2003年06期

8 賴院根;王娜;;概念語義相似度計算與參數(shù)估計[J];情報雜志;2009年08期

9 葉志剛,鄒慧君,胡松,郭為忠,周雙林,黃高義;基于語義網(wǎng)絡的方案設計過程表達與推理[J];上海交通大學學報;2003年05期

10 黃果;周竹榮;;基于領域本體的概念語義相似度計算研究[J];計算機工程與設計;2007年10期

本文編號：1696075