Vector model-based massive spatiotemporal data retrieval method and system

The invention discloses a vector model-based massive spatiotemporal data retrieval method and system. The method comprises the steps of performing vectorization processing on data of event space and problem space to obtain a spatiotemporal data vector; performing dimension reduction processing on th...

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Hauptverfasser: NIE RUIHUA, LIAO ZHIRUI, LI ZHENYU, ZHANG QIZHI, WANG XINMING, WU JIECHAO, ZHAO GANSEN, ZHUANG XUTIAN, REN XUEQI
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention discloses a vector model-based massive spatiotemporal data retrieval method and system. The method comprises the steps of performing vectorization processing on data of event space and problem space to obtain a spatiotemporal data vector; performing dimension reduction processing on the spatiotemporal data vector according to a target condition vector needed to be retrieved; performing vector operation on each dimension of the spatiotemporal data vector subjected to the dimension reduction processing and the target condition vector; and judging vector operation results, screening out the vector operation results meeting a preset condition, and obtaining corresponding retrieval results. The system comprises a spatiotemporal data vector representation module, a spatiotemporal data vector dimension reduction module, a spatiotemporal data vector operation module and a retrieval result judgment module. According to the method and the system, the to-be-queried data volume can be reduced, the calculati