Multidimensional analysis of geosciences literature for knowledge discovery
Pages 20 - 29
Abstract
With the increasing volume of online geosciences data, geoscientists are now facing huge challenges in rapidly discovering and extracting valuable information from a large number of documents. Nowadays, it has become crucial to develop flexible and efficient tools that can help geoscientists to quickly navigate through unstructured texts to reveal hidden patterns and trends. This paper presents a workflow for the multidimensional analysis of geosciences literature. NLP techniques and ontologies are used to automatically identify and extract domain-specific concepts and entities buried in unstructured text. Based on these extracted data, we defined a multidimensional representation form of geosciences text documents which facilitates quantitative and exploratory analysis for knowledge discovery. To illustrate the potential of the proposed workflow, we implemented a pilot system that allows the user to perform multidimensional analysis on large collection of documents through interactive and user-friendly visualizations. We have analyzed the rare earth elements and carbonatites research topic as an example. The obtained visualizations show the usefulness and the efficiency of the proposed system for discovering knowledge and identifying potential research gaps.
References
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Leveling, J. (2015, November). Tagging of temporal expressions and geological features in scientific articles. In Proceedings of the 9th Workshop on Geographic Information Retrieval (pp. 1-10).
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Wang, C., Ma, X., Chen, J., & Chen, J. (2018). Information extraction and knowledge graph construction from geoscience literature. Computers & Geosciences, 112, 112-120.
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Fan, R., Wang, L., Yan, J., Song, W., Zhu, Y., & Chen, X. (2020). Deep Learning-Based Named Entity Recognition and Knowledge Graph Construction for Geological Hazards. ISPRS International Journal of Geo-Information, 9(1), 15.
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Published In
April 2021
78 pages
ISBN:9781450389341
DOI:10.1145/3465222
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Association for Computing Machinery
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Published: 28 July 2021
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ICGDA 2021
ICGDA 2021: 2021 4th International Conference on Geoinformatics and Data Analysis
April 14 - 16, 2021
Marseille, France
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