Voxel modeling and association of ubiquitous spatiotemporal information in natural language texts  

作　　者：Dali Wang Xiaochong Tong Chenguang Dai Congzhou Guo Yi Lei Chunping Qiu He Li Yuekun Sun 

机构地区：[1]Information Engineering University,Zhengzhou,People's Republic of China [2]Zhengzhou Xinda Institute of Advanced Technology,Zhengzhou,People's Republic of China

出　　处：《International Journal of Digital Earth》2023年第1期868-890,共23页国际数字地球学报（英文）

基　　金：supported by The Excellent Youth Foundation of Henan Municipal Natural Science Foundation(212300410096);Program of Song Shan Laboratory(Included in the Management of Major Science and Technology Program of Henan Province)under Grant number 221100211000-03;The National Key R&D Plan of China(2018YFB0505304).

摘　　要：The ubiquitous spatiotemporal information extracted from Internet texts limits its application in spatiotemporal association and analysis due to its unstructured nature and uncertainty.This study uses ST-Voxel modeling to solve the problem of structured modeling and the association of ubiquitous spatiotemporal information in natural language texts.It provides a new solution for associating ubiquitous spatiotemporal information on the Internet and discovering public opinion.The main contributions of this paper include:(1)It proposes a convolved method for ST-Voxel,which solves the voxel modeling problem of unstructured and uncertain spatiotemporal objects and spatiotemporal relation in natural language texts.Experiments show that this method can effectively model 5 types of spatiotemporal objects and 16 types of uncertain spatiotemporal relation founded in texts;(2)It realizes the unknown event discovery based on voxelized spatiotemporal information association.Experiments show that this method can effectively solve the aggregation of ubiquitous spatiotemporal information in multi-natural language texts,which is conducive to discovering spatiotemporal events.The selection of convolution parameters in voxel modeling is also discussed.A parameter selection method for balancing the discovery capability and discovery accuracy of spatiotemporal events is given.

关 键 词：Spatiotemporal voxels ubiquitous spatiotemporal modeling spatiotemporal association discrete grid 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]