本文關鍵詞： 語義物聯(lián)網(wǎng) 本體摘要 重要度計算 RDF語句 鏈接分析　出處：《大連海事大學》2017年碩士論文　論文類型：學位論文

【摘要】：針對物聯(lián)網(wǎng)的內(nèi)在矛盾,將語義協(xié)同過程引入物聯(lián)網(wǎng),形成新一代網(wǎng)絡,即語義物聯(lián)網(wǎng)。語義協(xié)同過程是指基于本體進行語義標注與語義理解,因此,本體在語義物聯(lián)網(wǎng)中起到了核心作用。但是,語義物聯(lián)網(wǎng)本體目前主要存在兩點不足:一是本體數(shù)量過多、內(nèi)容復雜,不利于本體工程專家去理解并完成本體重用等相關工作;二是本體體積過大,對于語義物聯(lián)網(wǎng)底層設備資源能力受限的情況下,能夠提供一個精簡且涵蓋了最重要信息的本體是很有必要的。為了解決語義物聯(lián)網(wǎng)本體不利于理解、體積過大等問題,本文提出了一種基于重要度計算的語義物聯(lián)網(wǎng)本體摘要方法,從而保證語義物聯(lián)網(wǎng)語義協(xié)同過程的更好實現(xiàn)。本論文采用結構和語用特征相結合的方式來實現(xiàn)基于重要度計算的語義物聯(lián)網(wǎng)本體摘要。首先,對語義物聯(lián)網(wǎng)本體進行預處理,獲取本體中的術語集、RDF語句集和鏈接類型集,生成初始的RDF語句序列,采用RDF語句作為語義物聯(lián)網(wǎng)本體摘要過程中的基本語義單元,創(chuàng)建表征本體結構的二分圖模型;接著,在二分圖模型的基礎上,對RDF語句進行基于鏈接分析的結構重要度計算和基于語用統(tǒng)計的語用重要度計算,通過對統(tǒng)計結果和閾值的比較,進行RDF語句綜合重要度計算,生成按照重要度排序的RDF語句序列,并設計了重要度計算過程算法;然后,對按照重要度排序的RDF語句序列進行冗余處理,將綜合重要度最高的對象抽取到摘要結果集中,按需設定摘要長度后,生成摘要后結果集,并設計了摘要生成過程算法。為了驗證上述方法在語義物聯(lián)網(wǎng)中的有效性,本論文最后設計并實現(xiàn)了基于重要度計算的語義物聯(lián)網(wǎng)本體摘要原型系統(tǒng)。該系統(tǒng)從功能上分為語義物聯(lián)網(wǎng)本體預處理模塊、語義物聯(lián)網(wǎng)本體重要度計算模塊及基于重要度的語義物聯(lián)網(wǎng)本體摘要生成模塊,分別實現(xiàn)了對語義物聯(lián)網(wǎng)本體的解析、建模,重要度計算,消除冗余與摘要抽取功能。最終通過實驗驗證了該方法的準確性、可行性及該原型系統(tǒng)的性能。實驗結果表明該本體摘要方法可以為用戶提供滿足其偏好的最優(yōu)本體。
[Abstract]:In view of the inherent contradiction of the Internet of things, semantic collaborative process is introduced into the Internet of things to form a new generation of network, namely semantic Internet of things. Semantic collaborative process refers to semantic annotation and semantic understanding based on ontology. Ontology plays a central role in the semantic Internet of things. However, there are two main shortcomings in semantic ontology: first, the number of ontology is too much and the content is complex, which is not conducive to ontology engineering experts to understand and complete ontology reuse and other related work; Secondly, it is necessary to provide a concise ontology that covers the most important information in order to solve the problem that semantic Internet of things is not conducive to understanding, because the ontology is too large, and it is necessary for the semantic Internet of things to provide a concise ontology that covers the most important information under the condition of limited resource capacity of the underlying devices in the semantic Internet of things. In this paper, a semantic Internet of things ontology summary method based on importance calculation is proposed. In order to ensure the better realization of semantic collaborative process of semantic Internet of things. This paper uses the combination of structure and pragmatic features to realize semantic ontology summary based on importance calculation. Firstly, the semantic ontology of Internet of things is preprocessed. The RDF statement set and link type set are obtained, and the initial sequence of RDF statements is generated. The RDF statement is used as the basic semantic unit in the process of semantic ontology summary, and the bipartite graph model is created to represent the ontology structure. On the basis of bipartite graph model, we calculate the structural importance of RDF sentences based on link analysis and pragmatic statistics based on pragmatic statistics. By comparing the statistical results and threshold values, we calculate the comprehensive importance degree of RDF sentences. The sequence of RDF statements sorted according to the importance degree is generated, and the algorithm for calculating the importance degree is designed. Then, the sequence of RDF statements sorted according to the importance degree is processed by redundancy, and the objects with the highest synthetic importance are extracted into the summary result set. After the length of the summary is set according to the need, the result set is generated, and the algorithm of the process is designed. In order to verify the effectiveness of the above method in the semantic Internet of things, In the end of this thesis, the prototype system of semantic ontology abstracting based on importance computing is designed and implemented, which is divided into semantic ontology preprocessing module. The semantic Internet of things ontology importance calculation module and the semantic Internet of things ontology summary generation module based on the importance of the semantic Internet of things ontology analysis, modeling, importance calculation, respectively, Finally, the accuracy and feasibility of the method and the performance of the prototype system are verified by experiments. The experimental results show that the proposed method can provide users with the best ontology to satisfy their preferences.
【學位授予單位】：大連海事大學
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TP391.1;TP391.44;TN929.5

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