IF 1 4区 环境科学与生态学 Q3 BIODIVERSITY CONSERVATION
Biodiversity Data Journal Pub Date : 2025-03-31 eCollection Date: 2025-01-01 DOI:10.3897/BDJ.13.e142973
Qiu Jinshui, Zhang Jianwen, Jin Tao, Zhuang Huifu
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引用次数: 0

摘要

生物多样性对人类的生存和发展起着至关重要的作用。因此,保护生物多样性已成为全球关注的问题。生物名称是生物标识符,使用正确的生物名称有助于促进生物多样性保护研究。目前,全球有许多分类数据库和软件工具可用于处理植物名称。然而,这些资源分散在各种数据库网站或个人电脑中。用户必须投入大量时间来收集这些资源,并花费大量精力来学习、使用和维护这些资源,从而导致用户学习和使用成本居高不下。在此,我们提出了一个解决方案来解决上述问题。我们收集了全球主流的免费分类学数据集,将其整合成一个庞大的分类学数据集,然后将该汇总数据库中的数据映射到 Solr 搜索引擎。然后,基于这些分类数据集,我们设计了数据库、算法和系统,开发了系统,最终建立了在线植物名称服务系统(PNSS)。该系统不仅整合了主流分类数据集,还提供免费的植物名称检索、匹配、搜索、解析和应用编程接口(API)服务,帮助生物学家更有效地开展生物多样性保护研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
PNSS: An online plant name service system.

Biodiversity plays a vital role in human survival and development. Consequently, the protection of biodiversity has become a global concern. Biological names serve as biological identifiers and the use of correct biological names helps promote biodiversity conservation research. At present, there are numerous taxonomic databases and software tools available worldwide for processing plant names. However, these resources are scattered across various database websites or personal computers. Users must invest a significant amount of time collecting these resources and expend substantial effort to learn, use and maintain them, consequently leading to high user learning and usage costs. Here, we propose a solution to address the above problem. We collected mainstream and freely available taxonomic datasets from around the world, integrated them into an extensive taxonomic dataset and subsequently mapped the data in this summary database to Solr search engine. Then, based on these taxonomic datasets, we designed database, algorithms and system, developed the system and finally established an online plant name service system (PNSS). The PNSS not only integrates the mainstream taxonomic datasets, but also offers free plant name retrieval, matching, search, parsing and application programming interface (API) services to help biologists conduct more effective research on biodiversity conservation.

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来源期刊
Biodiversity Data Journal
Biodiversity Data Journal Agricultural and Biological Sciences-Ecology, Evolution, Behavior and Systematics
CiteScore
2.20
自引率
7.70%
发文量
283
审稿时长
6 weeks
期刊介绍: Biodiversity Data Journal (BDJ) is a community peer-reviewed, open-access, comprehensive online platform, designed to accelerate publishing, dissemination and sharing of biodiversity-related data of any kind. All structural elements of the articles – text, morphological descriptions, occurrences, data tables, etc. – will be treated and stored as DATA, in accordance with the Data Publishing Policies and Guidelines of Pensoft Publishers. The journal will publish papers in biodiversity science containing taxonomic, floristic/faunistic, morphological, genomic, phylogenetic, ecological or environmental data on any taxon of any geological age from any part of the world with no lower or upper limit to manuscript size.
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