Developing a Base Domain Ontology from Geoscience Report Collection to Aid in Information Retrieval towards Spatiotemporal and Topic Association
The efficient and precise retrieval of desired information from extensive geological databases is a prominent and pivotal focus within the realm of geological information services. Conventional information retrieval methods primarily rely on keyword matching approaches, which often overlook the cont...
| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2023-12-01
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| Series: | ISPRS International Journal of Geo-Information |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2220-9964/13/1/14 |
| _version_ | 1797343570421612544 |
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| author | Liufeng Tao Kai Ma Miao Tian Zhenyang Hui Shuai Zheng Junjie Liu Zhong Xie Qinjun Qiu |
| author_facet | Liufeng Tao Kai Ma Miao Tian Zhenyang Hui Shuai Zheng Junjie Liu Zhong Xie Qinjun Qiu |
| author_sort | Liufeng Tao |
| collection | DOAJ |
| description | The efficient and precise retrieval of desired information from extensive geological databases is a prominent and pivotal focus within the realm of geological information services. Conventional information retrieval methods primarily rely on keyword matching approaches, which often overlook the contextual and semantic aspects of the keywords, consequently impeding the retrieval system’s ability to accurately comprehend user query requirements. To tackle this challenge, this study proposes an ontology-driven information-retrieval framework for geological data that integrates spatiotemporal and topic associations. The framework encompasses the development of a geological domain ontology, extraction of key information, establishment of a multi-feature association and retrieval framework, and validation through a comprehensive case study. By employing the proposed framework, users are empowered to actively and automatically retrieve pertinent information, simplifying the information access process, mitigating the burden of comprehending information organization and software application models, and ultimately enhancing retrieval efficiency. |
| first_indexed | 2024-03-08T10:49:41Z |
| format | Article |
| id | doaj.art-bf616bff29d94f7281e5ef3a17dc2d25 |
| institution | Directory Open Access Journal |
| issn | 2220-9964 |
| language | English |
| last_indexed | 2024-03-08T10:49:41Z |
| publishDate | 2023-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj.art-bf616bff29d94f7281e5ef3a17dc2d252024-01-26T16:50:07ZengMDPI AGISPRS International Journal of Geo-Information2220-99642023-12-011311410.3390/ijgi13010014Developing a Base Domain Ontology from Geoscience Report Collection to Aid in Information Retrieval towards Spatiotemporal and Topic AssociationLiufeng Tao0Kai Ma1Miao Tian2Zhenyang Hui3Shuai Zheng4Junjie Liu5Zhong Xie6Qinjun Qiu7School of Computer Sciences, China University of Geosciences, Wuhan 430074, ChinaCollege of Computer and Information Technology, China Three Gorges University, Yichang 443002, ChinaKey Laboratory of Geological Survey and Evaluation of Ministry of Education, China University of Geosciences, Wuhan 430074, ChinaKey Laboratory of Mine Environmental Monitoring and Improving around Poyang Lake of Ministry of Natural Resources, East China University of Technology, Nanchang 330013, ChinaCollege of Computer and Information Technology, China Three Gorges University, Yichang 443002, ChinaCollege of Computer and Information Technology, China Three Gorges University, Yichang 443002, ChinaSchool of Computer Sciences, China University of Geosciences, Wuhan 430074, ChinaSchool of Computer Sciences, China University of Geosciences, Wuhan 430074, ChinaThe efficient and precise retrieval of desired information from extensive geological databases is a prominent and pivotal focus within the realm of geological information services. Conventional information retrieval methods primarily rely on keyword matching approaches, which often overlook the contextual and semantic aspects of the keywords, consequently impeding the retrieval system’s ability to accurately comprehend user query requirements. To tackle this challenge, this study proposes an ontology-driven information-retrieval framework for geological data that integrates spatiotemporal and topic associations. The framework encompasses the development of a geological domain ontology, extraction of key information, establishment of a multi-feature association and retrieval framework, and validation through a comprehensive case study. By employing the proposed framework, users are empowered to actively and automatically retrieve pertinent information, simplifying the information access process, mitigating the burden of comprehending information organization and software application models, and ultimately enhancing retrieval efficiency.https://www.mdpi.com/2220-9964/13/1/14geological ontologyspatiotemporal and topic associationinformation retrievalgeological reports |
| spellingShingle | Liufeng Tao Kai Ma Miao Tian Zhenyang Hui Shuai Zheng Junjie Liu Zhong Xie Qinjun Qiu Developing a Base Domain Ontology from Geoscience Report Collection to Aid in Information Retrieval towards Spatiotemporal and Topic Association ISPRS International Journal of Geo-Information geological ontology spatiotemporal and topic association information retrieval geological reports |
| title | Developing a Base Domain Ontology from Geoscience Report Collection to Aid in Information Retrieval towards Spatiotemporal and Topic Association |
| title_full | Developing a Base Domain Ontology from Geoscience Report Collection to Aid in Information Retrieval towards Spatiotemporal and Topic Association |
| title_fullStr | Developing a Base Domain Ontology from Geoscience Report Collection to Aid in Information Retrieval towards Spatiotemporal and Topic Association |
| title_full_unstemmed | Developing a Base Domain Ontology from Geoscience Report Collection to Aid in Information Retrieval towards Spatiotemporal and Topic Association |
| title_short | Developing a Base Domain Ontology from Geoscience Report Collection to Aid in Information Retrieval towards Spatiotemporal and Topic Association |
| title_sort | developing a base domain ontology from geoscience report collection to aid in information retrieval towards spatiotemporal and topic association |
| topic | geological ontology spatiotemporal and topic association information retrieval geological reports |
| url | https://www.mdpi.com/2220-9964/13/1/14 |
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