【摘要】：物聯(lián)網(wǎng)是指使用網(wǎng)絡(luò)將任何人和事物不受時(shí)間、地點(diǎn)限制進(jìn)行連接,是網(wǎng)絡(luò)未來(lái)的發(fā)展趨勢(shì)。語(yǔ)義物聯(lián)網(wǎng)是物聯(lián)網(wǎng)的一種改進(jìn)形式,它使用語(yǔ)義網(wǎng)技術(shù)有效地解決網(wǎng)絡(luò)中資源異構(gòu)的問(wèn)題。隨著物聯(lián)網(wǎng)的快速發(fā)展,作為基礎(chǔ)設(shè)施的傳感器被大量部署。如何支持用戶從大量的傳感器中查詢到能夠滿足實(shí)際需求的傳感器是語(yǔ)義物聯(lián)網(wǎng)最重要的功能之一。然而,目前的傳感器查詢方法不能有效利用傳感器信息的語(yǔ)義和數(shù)據(jù)特點(diǎn)進(jìn)行查詢。針對(duì)以上問(wèn)題,本文提出一種語(yǔ)義物聯(lián)網(wǎng)中本體和簽名圖結(jié)合的傳感器查詢方法。該方法利用情境相關(guān)的傳感器本體對(duì)傳感器信息進(jìn)行語(yǔ)義標(biāo)注,使傳感器信息格式統(tǒng)一、規(guī)范,且情境相關(guān)的語(yǔ)義信息能夠描述傳感器的狀態(tài),有利于查找到最能滿足用戶需求的傳感器;借助傳感器本體的知識(shí)結(jié)構(gòu)將關(guān)鍵字查詢轉(zhuǎn)換成結(jié)構(gòu)化查詢,使得查詢結(jié)果更加準(zhǔn)確,且不需要用戶了解具體的轉(zhuǎn)換細(xì)節(jié)和掌握相關(guān)的查詢技術(shù);根據(jù)傳感器信息通常表示成RDF格式且具有不確定性的數(shù)據(jù)特點(diǎn),利用基于簽名圖的查詢方法和閾值算法,提高查詢效率。依據(jù)上述提出的方法設(shè)計(jì)并實(shí)現(xiàn)了傳感器查詢系統(tǒng)。設(shè)計(jì)部分詳細(xì)說(shuō)明系統(tǒng)的數(shù)據(jù)流圖和數(shù)據(jù)庫(kù)表;實(shí)現(xiàn)部分介紹系統(tǒng)的開(kāi)發(fā)平臺(tái)、工具和實(shí)現(xiàn)步驟,并展示實(shí)現(xiàn)界面;實(shí)驗(yàn)部分將提出的傳感器查詢方法與現(xiàn)有的傳感器查詢方法進(jìn)行比較,結(jié)果表明,本文所提出的方法在查準(zhǔn)率和查詢效率方面具有一定的優(yōu)勢(shì)。
[Abstract]:The Internet of things refers to the use of the network to connect anyone and things without time and place constraints, which is the future development trend of the network. Semantic Internet of things is an improved form of the Internet of things, it uses semantic Web technology to effectively solve the problem of heterogeneous resources in the network. With the rapid development of the Internet of things, sensors as infrastructure are deployed in large numbers. How to support users to query from a large number of sensors to sensors that can meet the actual needs is one of the most important functions of the semantic Internet of things. However, the current sensor query methods can not effectively utilize the semantic and data characteristics of sensor information to query. Aiming at the above problems, this paper proposes a sensor query method which combines ontology and signature graph in semantic Internet of things. The method uses context-related sensor ontology to label the sensor information, which makes the sensor information format uniform and standardized, and the context-related semantic information can describe the state of the sensor. It is helpful to find the sensor that can best meet the needs of users, and convert keyword query into structured query by means of the knowledge structure of sensor ontology, which makes the query result more accurate. It does not require the user to know the details of the conversion and master the relevant query techniques. According to the characteristics of the sensor information usually expressed as RDF format and uncertain data, the query method based on signature graph and the threshold algorithm are used. Improve query efficiency. The sensor query system is designed and implemented according to the method mentioned above. In the design part, the data flow diagram and database table of the system are described in detail, the development platform, tools and implementation steps of the system are introduced in the realization part, and the realization interface is displayed. In the experiment part, the sensor query method is compared with the existing sensor query method. The results show that the proposed method has some advantages in precision and query efficiency.
【學(xué)位授予單位】：大連海事大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：TP391.44;TN929.5;TP212

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本文編號(hào)：2260408