Text Mining from Free Unstructured Text: An Experiment of Time Series Retrieval for Volcano Monitoring
Volcanic activity may influence climate parameters and impact people safety, and hence monitoring its characteristic indicators and their temporal evolution is crucial. Several databases, communications and literature providing data, information and updates on active volcanoes worldwide are availabl...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-03-01
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| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/12/7/3503 |
| _version_ | 1797440439445356544 |
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| author | Margherita Berardi Luigi Santamaria Amato Francesca Cigna Deodato Tapete Mario Siciliani de Cumis |
| author_facet | Margherita Berardi Luigi Santamaria Amato Francesca Cigna Deodato Tapete Mario Siciliani de Cumis |
| author_sort | Margherita Berardi |
| collection | DOAJ |
| description | Volcanic activity may influence climate parameters and impact people safety, and hence monitoring its characteristic indicators and their temporal evolution is crucial. Several databases, communications and literature providing data, information and updates on active volcanoes worldwide are available, and will likely increase in the future. Consequently, information extraction and text mining techniques aiming to efficiently analyze such databases and gather data and parameters of interest on a specific volcano can play an important role in this applied science field. This work presents a natural language processing (NLP) system that we developed to extract geochemical and geophysical data from free unstructured text included in monitoring reports and operational bulletins issued by volcanological observatories in HTML, PDF and MS Word formats. The NLP system enables the extraction of relevant gas parameters (e.g., SO<sub>2</sub> and CO<sub>2</sub> flux) from the text, and was tested on a series of 2839 daily and weekly bulletins published online between 2015 and 2021 for the Stromboli volcano (Italy). The experiment shows that the system proves capable in the extraction of the time series of a set of user-defined parameters that can be later analyzed and interpreted by specialists in relation with other monitoring and geospatial data. The text mining system can potentially be tuned to extract other target parameters from this and other databases. |
| first_indexed | 2024-03-09T12:07:11Z |
| format | Article |
| id | doaj.art-ef7c4890d6094d9398c5252a4e60cae4 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-09T12:07:11Z |
| publishDate | 2022-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-ef7c4890d6094d9398c5252a4e60cae42023-11-30T22:56:36ZengMDPI AGApplied Sciences2076-34172022-03-01127350310.3390/app12073503Text Mining from Free Unstructured Text: An Experiment of Time Series Retrieval for Volcano MonitoringMargherita Berardi0Luigi Santamaria Amato1Francesca Cigna2Deodato Tapete3Mario Siciliani de Cumis4Italian Space Agency (ASI), Space Center “G. Colombo”, Località Terlecchia s.n.c., 75100 Matera, ItalyItalian Space Agency (ASI), Space Center “G. Colombo”, Località Terlecchia s.n.c., 75100 Matera, ItalyItalian Space Agency (ASI), Via del Politecnico s.n.c., 00133 Roma, ItalyItalian Space Agency (ASI), Via del Politecnico s.n.c., 00133 Roma, ItalyItalian Space Agency (ASI), Space Center “G. Colombo”, Località Terlecchia s.n.c., 75100 Matera, ItalyVolcanic activity may influence climate parameters and impact people safety, and hence monitoring its characteristic indicators and their temporal evolution is crucial. Several databases, communications and literature providing data, information and updates on active volcanoes worldwide are available, and will likely increase in the future. Consequently, information extraction and text mining techniques aiming to efficiently analyze such databases and gather data and parameters of interest on a specific volcano can play an important role in this applied science field. This work presents a natural language processing (NLP) system that we developed to extract geochemical and geophysical data from free unstructured text included in monitoring reports and operational bulletins issued by volcanological observatories in HTML, PDF and MS Word formats. The NLP system enables the extraction of relevant gas parameters (e.g., SO<sub>2</sub> and CO<sub>2</sub> flux) from the text, and was tested on a series of 2839 daily and weekly bulletins published online between 2015 and 2021 for the Stromboli volcano (Italy). The experiment shows that the system proves capable in the extraction of the time series of a set of user-defined parameters that can be later analyzed and interpreted by specialists in relation with other monitoring and geospatial data. The text mining system can potentially be tuned to extract other target parameters from this and other databases.https://www.mdpi.com/2076-3417/12/7/3503text mininginformation extractionenvironmental monitoringvolcanic activitynatural language processing |
| spellingShingle | Margherita Berardi Luigi Santamaria Amato Francesca Cigna Deodato Tapete Mario Siciliani de Cumis Text Mining from Free Unstructured Text: An Experiment of Time Series Retrieval for Volcano Monitoring Applied Sciences text mining information extraction environmental monitoring volcanic activity natural language processing |
| title | Text Mining from Free Unstructured Text: An Experiment of Time Series Retrieval for Volcano Monitoring |
| title_full | Text Mining from Free Unstructured Text: An Experiment of Time Series Retrieval for Volcano Monitoring |
| title_fullStr | Text Mining from Free Unstructured Text: An Experiment of Time Series Retrieval for Volcano Monitoring |
| title_full_unstemmed | Text Mining from Free Unstructured Text: An Experiment of Time Series Retrieval for Volcano Monitoring |
| title_short | Text Mining from Free Unstructured Text: An Experiment of Time Series Retrieval for Volcano Monitoring |
| title_sort | text mining from free unstructured text an experiment of time series retrieval for volcano monitoring |
| topic | text mining information extraction environmental monitoring volcanic activity natural language processing |
| url | https://www.mdpi.com/2076-3417/12/7/3503 |
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