Integrating NLP and Ontology Matching into a Unified System for Automated Information Extraction from Geological Hazard Reports
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences
Link
https://link.springer.com/content/pdf/10.1007/s12583-022-1716-z.pdf
Reference43 articles.
1. Abdelkoui, F., Kholladi, M. K., 2017. Extracting Criminal-Related Events from Arabic Tweets. Journal of Information Technology Research, 10(3): 34–47. https://doi.org/10.4018/jitr.2017070103
2. Abraham, S., Mäs, S., Bernard, L., 2018. Extraction of Spatio-Temporal Data about Historical Events from Text Documents. Transactions in GIS, 22(3): 677–696. https://doi.org/10.1111/tgis.12448
3. Ali Sit, M., Koylu, C., Demir, I., 2019. Identifying Disaster-Related Tweets and Their Semantic, Spatial and Temporal Context Using Deep Learning, Natural Language Processing and Spatial Analysis: A Case Study of Hurricane Irma. International Journal of Digital Earth, 12 (11): 1205–1229. https://doi.org/10.1080/17538947.2018.1563219
4. Burel, G., Saif, H., Alani, H., 2017. Semantic Wide and Deep Learning for Detecting Crisis-Information Categories on Social Media. The Semantic Web-ISWC 2017: 16th International Semantic Web Conference, October 21–25, 2017, Vienna. https://doi.org/10.1007/978-3-319-68288-4_9
5. Campos, R., Dias, G., Jorge, A. M., et al., 2015. Survey of Temporal Information Retrieval and Related Applications. ACM Computing Surveys, 47(2): 1–41. https://doi.org/10.1145/2619088
Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. CoreViT: A new vision transformer model for lithofacies identification in cores;Geoenergy Science and Engineering;2024-09
2. Earthquake event knowledge graph construction and reasoning;Geomatics, Natural Hazards and Risk;2024-08-07
3. Knowledge System, Ontology, and Knowledge Graph of the Deep-Time Digital Earth (DDE): Progress and Perspective;Journal of Earth Science;2023-10
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3