Design of Semantic Analysis Model System for Spatiotemporal Information

Fan Yang, Zhongwang Wu, Jian Xu, Jian Xu

2022

Abstract

There is plenty social news on the Internet, and abundant event descriptions are given in the form of text and images. The time, location, the type of events can be automatically obtained through semantic analysis of spatiotemporal information from social news. Then it is possibel to analyze the rules of events and predict the trend of events. This paper first designs a spatiotemporal intelligence semantic analysis model system, which can obtain the event type, event time and event locations, as well as the time and location rules of events based on the text semantic mining. And then the designed system can use the obtained text semantics to assist the image semantic mining to obtain the spatiotemporal intelligence such as the target type, target model, target location and action rules occurred in the event. This paper also implements the prototype system which proves that both text semantic analysis and image semantic analysis can correctly obtain spatiotemporal information.

Paper Citation

in Harvard Style

Yang F., Wu Z. and Xu J. (2022). Design of Semantic Analysis Model System for Spatiotemporal Information. In Proceedings of the 3rd International Symposium on Automation, Information and Computing - Volume 1: ISAIC; ISBN 978-989-758-622-4, SciTePress, pages 745-750. DOI: 10.5220/0012045800003612

in Bibtex Style

@conference{isaic22,
author={Fan Yang and Zhongwang Wu and Jian Xu},
title={Design of Semantic Analysis Model System for Spatiotemporal Information},
booktitle={Proceedings of the 3rd International Symposium on Automation, Information and Computing - Volume 1: ISAIC},
year={2022},
pages={745-750},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012045800003612},
isbn={978-989-758-622-4},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Symposium on Automation, Information and Computing - Volume 1: ISAIC
TI - Design of Semantic Analysis Model System for Spatiotemporal Information
SN - 978-989-758-622-4
AU - Yang F.
AU - Wu Z.
AU - Xu J.
PY - 2022
SP - 745
EP - 750
DO - 10.5220/0012045800003612
PB - SciTePress