A practical approach to building a calcareous nannofossil knowledge graph
Abstract Following sustained development, numerous palaeontology databases and datasets of various types have been created. However, the lack of a unified standard language to describe knowledge and unclear sharing mechanisms between different databases and datasets has limited the large‐scale integ...
Saved in:
| Main Authors: | , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2025-01-01
|
| Series: | Geoscience Data Journal |
| Subjects: | |
| Online Access: | https://doi.org/10.1002/gdj3.279 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832584941982973952 |
|---|---|
| author | Hongyi Zhao Bin Hu Chao Ma Shijun Jiang Yi Zhang Xin Li Lirong Chen Can Cai Longgang Ye Shengjian Zhou Chengshan Wang |
| author_facet | Hongyi Zhao Bin Hu Chao Ma Shijun Jiang Yi Zhang Xin Li Lirong Chen Can Cai Longgang Ye Shengjian Zhou Chengshan Wang |
| author_sort | Hongyi Zhao |
| collection | DOAJ |
| description | Abstract Following sustained development, numerous palaeontology databases and datasets of various types have been created. However, the lack of a unified standard language to describe knowledge and unclear sharing mechanisms between different databases and datasets has limited the large‐scale integration and application of paleontological data. The knowledge graph, as a key technology for semantic translation and data fusion, offers a possible solution to these challenges. Given the potential of knowledge graphs to overcome these obstacles, this paper presents a practical approach to express paleontological knowledge in a knowledge graph via the resource description framework language. By delving into the structured data associated with calcareous nannofossil biozones (the UC zone, CC zone and NC zone), we propose an ontology to describe the semantic units and logical relationships of paleontological biozones and species and then integrate relevant species records from unstructured research reports to construct a knowledge graph for calcareous nannofossils, that integrates multisource paleobiological data and knowledge reconstruction. Our focus lies in detailing the technical aspects of constructing a paleontological knowledge graph. The results demonstrate that knowledge graphs can integrate semistructured and unstructured paleontological data from various sources. This work aims to assist palaeontologists in building and utilizing knowledge graphs, serving as an initial effort for future paleontological knowledge reasoning. |
| format | Article |
| id | doaj-art-8ee457e9336d4351923f587b72bffa14 |
| institution | Kabale University |
| issn | 2049-6060 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Geoscience Data Journal |
| spelling | doaj-art-8ee457e9336d4351923f587b72bffa142025-01-27T08:26:34ZengWileyGeoscience Data Journal2049-60602025-01-01121n/an/a10.1002/gdj3.279A practical approach to building a calcareous nannofossil knowledge graphHongyi Zhao0Bin Hu1Chao Ma2Shijun Jiang3Yi Zhang4Xin Li5Lirong Chen6Can Cai7Longgang Ye8Shengjian Zhou9Chengshan Wang10State Key Laboratory of Biogeology and Environmental Geology China University of Geosciences Beijing ChinaState Key Laboratory of Biogeology and Environmental Geology China University of Geosciences Beijing ChinaInstitute of Sedimentary Geology Chengdu University of Technology Chengdu ChinaCollege of Oceanography Hohai University Nanjing ChinaState Key Laboratory of Biogeology and Environmental Geology China University of Geosciences Beijing ChinaKey Laboratory of Palaeobiology and Petroleum Stratigraphy, Nanjing Institute of Geology and Palaeontology Chinese Academy of Sciences Nanjing ChinaInstitute of Marine Big Data and Knowledge Service China Ocean Press Beijing ChinaState Key Laboratory of Biogeology and Environmental Geology China University of Geosciences Beijing ChinaInstitute of Sedimentary Geology Chengdu University of Technology Chengdu ChinaInstitute of Sedimentary Geology Chengdu University of Technology Chengdu ChinaState Key Laboratory of Biogeology and Environmental Geology China University of Geosciences Beijing ChinaAbstract Following sustained development, numerous palaeontology databases and datasets of various types have been created. However, the lack of a unified standard language to describe knowledge and unclear sharing mechanisms between different databases and datasets has limited the large‐scale integration and application of paleontological data. The knowledge graph, as a key technology for semantic translation and data fusion, offers a possible solution to these challenges. Given the potential of knowledge graphs to overcome these obstacles, this paper presents a practical approach to express paleontological knowledge in a knowledge graph via the resource description framework language. By delving into the structured data associated with calcareous nannofossil biozones (the UC zone, CC zone and NC zone), we propose an ontology to describe the semantic units and logical relationships of paleontological biozones and species and then integrate relevant species records from unstructured research reports to construct a knowledge graph for calcareous nannofossils, that integrates multisource paleobiological data and knowledge reconstruction. Our focus lies in detailing the technical aspects of constructing a paleontological knowledge graph. The results demonstrate that knowledge graphs can integrate semistructured and unstructured paleontological data from various sources. This work aims to assist palaeontologists in building and utilizing knowledge graphs, serving as an initial effort for future paleontological knowledge reasoning.https://doi.org/10.1002/gdj3.279calcareous nannofossilsdata scienceknowledge graphpaleontological dataresource description framework (RDF) language |
| spellingShingle | Hongyi Zhao Bin Hu Chao Ma Shijun Jiang Yi Zhang Xin Li Lirong Chen Can Cai Longgang Ye Shengjian Zhou Chengshan Wang A practical approach to building a calcareous nannofossil knowledge graph Geoscience Data Journal calcareous nannofossils data science knowledge graph paleontological data resource description framework (RDF) language |
| title | A practical approach to building a calcareous nannofossil knowledge graph |
| title_full | A practical approach to building a calcareous nannofossil knowledge graph |
| title_fullStr | A practical approach to building a calcareous nannofossil knowledge graph |
| title_full_unstemmed | A practical approach to building a calcareous nannofossil knowledge graph |
| title_short | A practical approach to building a calcareous nannofossil knowledge graph |
| title_sort | practical approach to building a calcareous nannofossil knowledge graph |
| topic | calcareous nannofossils data science knowledge graph paleontological data resource description framework (RDF) language |
| url | https://doi.org/10.1002/gdj3.279 |
| work_keys_str_mv | AT hongyizhao apracticalapproachtobuildingacalcareousnannofossilknowledgegraph AT binhu apracticalapproachtobuildingacalcareousnannofossilknowledgegraph AT chaoma apracticalapproachtobuildingacalcareousnannofossilknowledgegraph AT shijunjiang apracticalapproachtobuildingacalcareousnannofossilknowledgegraph AT yizhang apracticalapproachtobuildingacalcareousnannofossilknowledgegraph AT xinli apracticalapproachtobuildingacalcareousnannofossilknowledgegraph AT lirongchen apracticalapproachtobuildingacalcareousnannofossilknowledgegraph AT cancai apracticalapproachtobuildingacalcareousnannofossilknowledgegraph AT longgangye apracticalapproachtobuildingacalcareousnannofossilknowledgegraph AT shengjianzhou apracticalapproachtobuildingacalcareousnannofossilknowledgegraph AT chengshanwang apracticalapproachtobuildingacalcareousnannofossilknowledgegraph AT hongyizhao practicalapproachtobuildingacalcareousnannofossilknowledgegraph AT binhu practicalapproachtobuildingacalcareousnannofossilknowledgegraph AT chaoma practicalapproachtobuildingacalcareousnannofossilknowledgegraph AT shijunjiang practicalapproachtobuildingacalcareousnannofossilknowledgegraph AT yizhang practicalapproachtobuildingacalcareousnannofossilknowledgegraph AT xinli practicalapproachtobuildingacalcareousnannofossilknowledgegraph AT lirongchen practicalapproachtobuildingacalcareousnannofossilknowledgegraph AT cancai practicalapproachtobuildingacalcareousnannofossilknowledgegraph AT longgangye practicalapproachtobuildingacalcareousnannofossilknowledgegraph AT shengjianzhou practicalapproachtobuildingacalcareousnannofossilknowledgegraph AT chengshanwang practicalapproachtobuildingacalcareousnannofossilknowledgegraph |