{"title":"Paleontology Knowledge Graph for Data-Driven Discovery","authors":"Yiying Deng, Sicun Song, Junxuan Fan, Mao Luo, Le Yao, Shaochun Dong, Yukun Shi, Linna Zhang, Yue Wang, Haipeng Xu, Huiqing Xu, Yingying Zhao, Zhaohui Pan, Zhangshuai Hou, Xiaoming Li, Boheng Shen, Xinran Chen, Shuhan Zhang, Xuejin Wu, Lida Xing, Qingqing Liang, Enze Wang","doi":"10.1007/s12583-023-1943-9","DOIUrl":null,"url":null,"abstract":"<p>A knowledge graph (KG) is a knowledge base that integrates and represents data based on a graph-structured data model or topology. Geoscientists have made efforts to construct geoscience-related KGs to overcome semantic heterogeneity and facilitate knowledge representation, data integration, and text analysis. However, there is currently no comprehensive paleontology KG or data-driven discovery based on it. In this study, we constructed a two-layer model to represent the ordinal hierarchical structure of the paleontology KG following a top-down construction process. An ontology containing 19 365 concepts has been defined up to 2023. On this basis, we derived the synonymy list based on the paleontology KG and designed corresponding online functions in the OneStratigraphy database to showcase the use of the KG in paleontological research.</p>","PeriodicalId":15607,"journal":{"name":"Journal of Earth Science","volume":"33 1","pages":""},"PeriodicalIF":4.1000,"publicationDate":"2024-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Earth Science","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1007/s12583-023-1943-9","RegionNum":2,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"GEOSCIENCES, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
A knowledge graph (KG) is a knowledge base that integrates and represents data based on a graph-structured data model or topology. Geoscientists have made efforts to construct geoscience-related KGs to overcome semantic heterogeneity and facilitate knowledge representation, data integration, and text analysis. However, there is currently no comprehensive paleontology KG or data-driven discovery based on it. In this study, we constructed a two-layer model to represent the ordinal hierarchical structure of the paleontology KG following a top-down construction process. An ontology containing 19 365 concepts has been defined up to 2023. On this basis, we derived the synonymy list based on the paleontology KG and designed corresponding online functions in the OneStratigraphy database to showcase the use of the KG in paleontological research.
知识图谱（KG）是一种基于图结构数据模型或拓扑结构来整合和表示数据的知识库。地球科学家们一直在努力构建与地球科学相关的知识图谱，以克服语义异质性，促进知识表示、数据整合和文本分析。然而，目前还没有全面的古生物学 KG 或基于 KG 的数据驱动发现。在本研究中，我们按照自上而下的构建过程，构建了一个双层模型来表示古生物学知识库的序分层结构。截至 2023 年，已定义了包含 19365 个概念的本体。在此基础上，我们得出了基于古生物学 KG 的同义词表，并在 OneStratigraphy 数据库中设计了相应的在线功能，以展示 KG 在古生物学研究中的应用。
期刊介绍：
Journal of Earth Science (previously known as Journal of China University of Geosciences), issued bimonthly through China University of Geosciences, covers all branches of geology and related technology in the exploration and utilization of earth resources. Founded in 1990 as the Journal of China University of Geosciences, this publication is expanding its breadth of coverage to an international scope. Coverage includes such topics as geology, petrology, mineralogy, ore deposit geology, tectonics, paleontology, stratigraphy, sedimentology, geochemistry, geophysics and environmental sciences.
Articles published in recent issues include Tectonics in the Northwestern West Philippine Basin; Creep Damage Characteristics of Soft Rock under Disturbance Loads; Simplicial Indicator Kriging; Tephra Discovered in High Resolution Peat Sediment and Its Indication to Climatic Event.
The journal offers discussion of new theories, methods and discoveries; reports on recent achievements in the geosciences; and timely reviews of selected subjects.
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