{"title":"PNSS: An online plant name service system.","authors":"Qiu Jinshui, Zhang Jianwen, Jin Tao, Zhuang Huifu","doi":"10.3897/BDJ.13.e142973","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":55994,"journal":{"name":"Biodiversity Data Journal","volume":"13 ","pages":"e142973"},"PeriodicalIF":1.0000,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11976303/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Biodiversity Data Journal","FirstCategoryId":"93","ListUrlMain":"https://doi.org/10.3897/BDJ.13.e142973","RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/1/1 0:00:00","PubModel":"eCollection","JCR":"Q3","JCRName":"BIODIVERSITY CONSERVATION","Score":null,"Total":0}
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.
Biodiversity Data JournalAgricultural 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.