Academic Journal
A practical approach to building a calcareous nannofossil knowledge graph
| Title: | A practical approach to building a calcareous nannofossil knowledge graph |
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| Authors: | Hongyi Zhao, Bin Hu, Chao Ma, Shijun Jiang, Yi Zhang, Xin Li, Lirong Chen, Can Cai, Longgang Ye, Shengjian Zhou, Chengshan Wang |
| Source: | Geoscience Data Journal, Vol 12, Iss 1, Pp n/a-n/a (2025) |
| Publisher Information: | Wiley, 2025. |
| Publication Year: | 2025 |
| Collection: | LCC:Meteorology. Climatology LCC:Geology |
| Subject Terms: | calcareous nannofossils, data science, knowledge graph, paleontological data, resource description framework (RDF) language, Meteorology. Climatology, QC851-999, Geology, QE1-996.5 |
| More Details: | 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. |
| Document Type: | article |
| File Description: | electronic resource |
| Language: | English |
| ISSN: | 2049-6060 |
| Relation: | https://doaj.org/toc/2049-6060 |
| DOI: | 10.1002/gdj3.279 |
| Access URL: | https://doaj.org/article/8ee457e9336d4351923f587b72bffa14 |
| Accession Number: | edsdoj.8ee457e9336d4351923f587b72bffa14 |
| Database: | Directory of Open Access Journals |
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| ISSN: | 20496060 |
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| DOI: | 10.1002/gdj3.279 |
| Published in: | Geoscience Data Journal |
| Language: | English |