本文選題：物聯(lián)網(wǎng) + 語(yǔ)義分類樹��； 參考：《系統(tǒng)工程與電子技術(shù)》2014年01期

【摘要】：面對(duì)物聯(lián)網(wǎng)中的海量空間資源,在空間資源索引的構(gòu)建中引入語(yǔ)義分類的方法,使得傳統(tǒng)的IR樹具備語(yǔ)義特征,支持用戶對(duì)資源的語(yǔ)義查詢,并提出一種top-k語(yǔ)義查詢優(yōu)化算法,通過(guò)對(duì)實(shí)際數(shù)據(jù)的使用和實(shí)驗(yàn)分析,得出索引結(jié)構(gòu)的有效性和查詢結(jié)果的正確性,從索引構(gòu)建時(shí)間、查詢時(shí)間和查詢準(zhǔn)確率3個(gè)指標(biāo)來(lái)評(píng)估算法的性能,實(shí)驗(yàn)結(jié)果表明,算法支持語(yǔ)義空間資源索引構(gòu)建,并且查詢性能好,準(zhǔn)確率高。
[Abstract]:In the face of the massive spatial resources in the Internet of things, the semantic classification method is introduced into the construction of spatial resource index, which makes the traditional IR tree have semantic features, supports users' semantic query to resources, and proposes a top-k semantic query optimization algorithm. The validity of the index structure and the correctness of the query results are obtained through the use of the actual data and the experimental analysis. The performance of the algorithm is evaluated from the index construction time, the query time and the query accuracy. The experimental results show that, The algorithm supports the construction of semantic resource index, and the query performance is good and the accuracy is high.
【作者單位】： 國(guó)防科學(xué)技術(shù)大學(xué)信息系統(tǒng)工程重點(diǎn)實(shí)驗(yàn)室;
【基金】：國(guó)家高技術(shù)研究發(fā)展計(jì)劃(863計(jì)劃)(2011AA010106)資助課題
【分類號(hào)】：TP391.3;TP391.45;TN929.5

【參考文獻(xiàn)】

相關(guān)期刊論文 前2條

1 王洪偉;霍佳震;王偉;廖雅國(guó);;面向語(yǔ)義檢索應(yīng)用的本體模型結(jié)構(gòu)設(shè)計(jì)[J];系統(tǒng)工程與電子技術(shù);2010年01期

2 葛斌;唐九陽(yáng);張，

本文編號(hào)：2104707