CAJ | 학술논문

随着当今社会科技水平的快速发展，各行业的应用领域也在逐步拓展，学科交叉的情况已在各重大行业领域频频出现，交叉学科的出现给传统的数据分析模式带来了挑战，同时数据多源性和异构性的特点对海量数据的管理机制也是一种考验。本文通过对多源数据组织检索方式的分析，在测绘和气象行业选取了四种完全相异的实验数据，这些数据具有典型的行业代表性与广泛的应用背景，结合数据各自独有的组织及应用特点，以GeoSOT全球剖分网格为基础，采用最小外包矩形、多级网格聚合和关联索引大表的数据预处理方式，建立了跨领域，多尺度，无缝无叠，覆盖全球的多源数据编码检索模型。通过简便快捷的编码处理，实现了对多源异构数据的快速汇集与综合管理。
수착당금사회과기수평적쾌속발전，각행업적응용영역야재축보탁전，학과교차적정황이재각중대행업영역빈빈출현，교차학과적출현급전통적수거분석모식대래료도전，동시수거다원성화이구성적특점대해량수거적관리궤제야시일충고험。본문통과대다원수거조직검색방식적분석，재측회화기상행업선취료사충완전상이적실험수거，저사수거구유전형적행업대표성여엄범적응용배경，결합수거각자독유적조직급응용특점，이GeoSOT전구부분망격위기출，채용최소외포구형、다급망격취합화관련색인대표적수거예처리방식，건립료과영역，다척도，무봉무첩，복개전구적다원수거편마검색모형。통과간편쾌첩적편마처리，실현료대다원이구수거적쾌속회집여종합관리。
With the rapid development of social scientific and technological level, applications in various industries are gradually expanding, cross-disciplines has appeared in all major industry sectors frequently, which is a challenge of traditional data analysis mode, while the multi-source and heterogeneous of data is also a test for massive data management system. By the analysis of multi-source data retrieval methods, four disparate data from map ping and meteorological sectors as experimental data are selected, which have a typical representative of the industry with a wide range of application background. A cross-cutting, multi-scale and non-overlapping seamless global coverage of multi-source data encoding retrieval model is established, which is based on global subdivision grid named GeoSOT, using the technology of the smallest rectangle outsourcing, multi-level aggregation grid and association index table. By this encoding process model, we can achieve a rapid collection of multi-source heterogeneous data and integrated management simply and efficiently.