【摘要】：為使復(fù)雜的海量多源空間標繪內(nèi)容規(guī)范化、標準化,確保標繪內(nèi)容的正確性,亟需對空間標繪內(nèi)容進行整合。針對多源異構(gòu)空間標繪信息中存在的同標異物、異標同物等情況,分析不同應(yīng)用類型標繪數(shù)據(jù)的自身特點,以最大限度地消除差異性為標準,采用粗糙集理論對信息進行分類,通過建立語義本體庫進行源數(shù)據(jù)分析、提取和轉(zhuǎn)換等工作,建立數(shù)據(jù)整合標準與質(zhì)量控制體系,突破數(shù)據(jù)源之間標準的差異以及異常數(shù)據(jù)的限制,實現(xiàn)了多源標繪內(nèi)容的自動/半自動整合。以全球地名數(shù)據(jù)為例,隨機選取4組實驗數(shù)據(jù)進行屬性約簡和規(guī)則提取,并對相關(guān)數(shù)據(jù)進行整合。實驗結(jié)果表明,算法可行性強,數(shù)據(jù)整合流程具備高效性,能夠應(yīng)用于大數(shù)據(jù)集的分類。
[Abstract]:In order to standardize and standardize the complex multi-source spatial plotting content and ensure the correctness of the plotting content, it is urgent to integrate the spatial plotting content. Aiming at the same standard foreign body and different standard same object in the multi-source and heterogeneous space plotting information, this paper analyzes the characteristics of the different types of plotting data and classifies the information by rough set theory based on the criterion of eliminating the difference to the maximum extent. Through the establishment of semantic ontology library for source data analysis, extraction and transformation, data integration standards and quality control system are established to break through the differences between the standards of data sources and the limitation of abnormal data. The automatic / semi-automatic integration of multi-source plotting content is realized. Taking global toponymic data as an example, four groups of experimental data were randomly selected for attribute reduction and rule extraction, and related data were integrated. The experimental results show that the algorithm is feasible and the data integration process is efficient and can be applied to the classification of big data set.
【作者單位】： 北京航天泰坦科技股份有限公司;中國地質(zhì)大學(xué)(北京)土地科學(xué)技術(shù)學(xué)院;
【基金】：國家863計劃項目“星機地綜合定量遙感系統(tǒng)與應(yīng)用示范”(編號:2013AA12A303)和“全球海量空間信息更新關(guān)聯(lián)與主動服務(wù)系統(tǒng)”(編號:2013AA12A402)共同資助
【分類號】：P209

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