【摘要】：隨著物聯(lián)網(wǎng)、互聯(lián)網(wǎng)、大數(shù)據(jù)、云計(jì)算等新一代信息技術(shù)的發(fā)展和在地學(xué)領(lǐng)域的應(yīng)用,如何更全、更準(zhǔn)的從海量地質(zhì)數(shù)據(jù)中檢索到用戶(hù)所需要的信息,并以一種智能的方式推薦給用戶(hù),成了亟待解決的問(wèn)題。本文從地質(zhì)大數(shù)據(jù)語(yǔ)義模型定義和基于知識(shí)圖譜技術(shù)的地質(zhì)大數(shù)據(jù)語(yǔ)義模型構(gòu)建入手,提出了一套面向地質(zhì)大數(shù)據(jù)的語(yǔ)義檢索和聚類(lèi)分析方法,并完成了面向地質(zhì)大數(shù)據(jù)語(yǔ)義檢索系統(tǒng)平臺(tái)的開(kāi)發(fā)、實(shí)施及實(shí)驗(yàn)驗(yàn)證。驗(yàn)證結(jié)果表明此方法在查準(zhǔn)率和查全率方面較其他方法更具優(yōu)越性。
[Abstract]:With the development of the Internet of things, big data, cloud computing and other new generation of information technology and applications in the field of geoscience, how to retrieve the information that users need from the massive geological data more completely and accurately, And an intelligent way to recommend to the user, has become an urgent problem. Based on the definition of geological big data semantic model and the construction of geological big data semantic model based on knowledge map technology, a set of semantic retrieval and clustering analysis methods for geological big data are proposed in this paper. The development, implementation and experimental verification of the semantic retrieval platform for geological big data are completed. The results show that this method is superior to other methods in precision and recall.
【作者單位】： 中國(guó)地質(zhì)調(diào)查局發(fā)展研究中心;國(guó)土資源部地質(zhì)信息技術(shù)重點(diǎn)實(shí)驗(yàn)室;中國(guó)地質(zhì)大學(xué)(北京)地球科學(xué)與資源學(xué)院;北京久遠(yuǎn)太和科技有限公司;湖南科技大學(xué)地理空間信息技術(shù)國(guó)家地方聯(lián)合工程實(shí)驗(yàn)室;
【基金】：國(guó)土資源部公益性行業(yè)科研專(zhuān)項(xiàng)資助(編號(hào):201511079)
【分類(lèi)號(hào)】：P628

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