{"title":"协助动物命名决策与管理","authors":"Elie Saliba, Régine Vignes Lebbe, Annemarie Ohler","doi":"10.3897/biss.7.112710","DOIUrl":null,"url":null,"abstract":"Nomenclature is the discipline of taxonomy responsible for managing the scientific names of groups of organisms. It ensures continuity in the transmission of all kinds of data and knowledge accumulated about taxa. Zoologists use the International Code of Zoological Nomenclature (International Commission on Zoological Nomenclature 1999), currently in its fourth edition. The Code contains the rules that allow the correct understanding and application of nomenclature, e.g., how to choose between two names applying to the same taxon. Nomenclature became more complex over the centuries, as rules appeared, disappeared, or evolved to adapt to scientific and technological changes (e.g., the inclusion of digital media) (International Commission on Zoological Nomenclature 2012). By adhering to nomenclatural rules, taxonomic databases, such as the Catalogue of Life (Bánki et al. 2023), can maintain the integrity and accuracy of taxon names, preventing confusion and ambiguity. Nomenclature also facilitates the linkage and integration of data across different databases, allowing for seamless collaboration and information exchange among researchers. However, unlike its final result, which is also called a nomenclature, the discipline itself has remained relatively impervious to computerization, until now. Lognom *1 is a free web application based on algorithms that facilitate decision-making in zoological nomenclature. It is not based on a pre-existing database, but instead provides an answer based on the user input, and relies on interactive form-based queries. This software aims to help taxonomists determine whether a name or work is available, whether spelling rules have been correctly applied, and whether all the relevant rules have been respected before a new name or work is published. Lognom also allows the user to obtain the valid name between several pre-registered candidate names, including the list of synonyms and the reason for their synonymy. It also includes tools for answering various nomenclatural questions, such as determining if two different species names with the same derivation and meaning should be treated as homonyms; if a name should be treated as a nomen oblitum under Art. 23.9 of the Code; and another tool to determine a genus-series name's grammatical gender. Lognom includes most of the rules regarding availability and validity, with the exception of those needing human interpretation, usually pertaining to Latin grammar. At this point of its development, homonymy is not completely included in the web app, nor are the rules linked to the management of type-specimens (e.g., lectotypification, neotypification), outside of their use in determining the availability of a name. With enough data entered by the users, Lognom should be able to model a modification of the rules and calculate its impact on the potential availability or spelling of existing names. Other prospectives include the possibility of working simultaneously on common projects, which should lead to dynamic lists of available names, as well as automatically extracting nomenclatural data from pre-existing databases, where relevant information is disseminated. A link to attach semantic web labels to names throughout Zoonom (Saliba et al. 2021) or NOMEN (Yoder et al. 2017) is also under consideration.","PeriodicalId":9011,"journal":{"name":"Biodiversity Information Science and Standards","volume":"19 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Lognom, Assisting in the Decision-Making and Management of Zoological Nomenclature\",\"authors\":\"Elie Saliba, Régine Vignes Lebbe, Annemarie Ohler\",\"doi\":\"10.3897/biss.7.112710\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Nomenclature is the discipline of taxonomy responsible for managing the scientific names of groups of organisms. It ensures continuity in the transmission of all kinds of data and knowledge accumulated about taxa. 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However, unlike its final result, which is also called a nomenclature, the discipline itself has remained relatively impervious to computerization, until now. Lognom *1 is a free web application based on algorithms that facilitate decision-making in zoological nomenclature. It is not based on a pre-existing database, but instead provides an answer based on the user input, and relies on interactive form-based queries. This software aims to help taxonomists determine whether a name or work is available, whether spelling rules have been correctly applied, and whether all the relevant rules have been respected before a new name or work is published. Lognom also allows the user to obtain the valid name between several pre-registered candidate names, including the list of synonyms and the reason for their synonymy. It also includes tools for answering various nomenclatural questions, such as determining if two different species names with the same derivation and meaning should be treated as homonyms; if a name should be treated as a nomen oblitum under Art. 23.9 of the Code; and another tool to determine a genus-series name's grammatical gender. Lognom includes most of the rules regarding availability and validity, with the exception of those needing human interpretation, usually pertaining to Latin grammar. At this point of its development, homonymy is not completely included in the web app, nor are the rules linked to the management of type-specimens (e.g., lectotypification, neotypification), outside of their use in determining the availability of a name. With enough data entered by the users, Lognom should be able to model a modification of the rules and calculate its impact on the potential availability or spelling of existing names. 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引用次数: 0
摘要
命名法是分类学的一门学科,负责管理生物群的学名。它保证了所积累的关于分类群的各种数据和知识的连续性。动物学家使用国际动物命名规则(国际动物命名委员会1999年),目前是第四版。该法典包含了正确理解和应用命名法的规则,例如,如何在适用于同一分类单元的两个名称之间进行选择。几个世纪以来,随着规则的出现、消失或演变以适应科学和技术的变化(例如,数字媒体的加入),命名法变得更加复杂(国际动物命名法委员会,2012)。通过遵守命名规则,分类数据库,如Catalogue of Life (Bánki et al. 2023),可以保持分类单元名称的完整性和准确性,防止混淆和歧义。Nomenclature还促进了跨不同数据库的数据链接和集成,允许研究人员之间的无缝协作和信息交换。然而,与它的最终结果(也称为命名法)不同的是,直到现在,这门学科本身仍然相对不受计算机化的影响。Lognom *1是一个免费的web应用程序,基于算法,促进决策在动物命名。它不是基于预先存在的数据库,而是根据用户输入提供答案,并依赖于交互式的基于表单的查询。这个软件旨在帮助分类学家确定一个名字或作品是否可用,拼写规则是否被正确应用,以及在新名字或作品发表之前是否遵守了所有相关规则。Lognom还允许用户获得几个预先注册的候选名称之间的有效名称,包括同义词列表及其同义词的原因。它还包括回答各种命名问题的工具,例如确定具有相同来源和含义的两个不同的物种名称是否应被视为同音异义词;根据《法典》第23.9条,某一名称是否应被视为姓名义务;这是另一个确定属系名称语法性别的工具。Lognom包括大多数关于可用性和有效性的规则,除了那些需要人工解释的规则,通常与拉丁语法有关。在其开发的这一点上,同音性并没有完全包含在web应用程序中,也没有与类型样本管理(例如,lectotypification, neotypification)相关的规则,除了它们在确定名称可用性方面的使用之外。有了用户输入的足够的数据,Lognom应该能够对规则的修改进行建模,并计算其对现有名称的潜在可用性或拼写的影响。其他的前景包括可能同时进行共同项目,这将产生现有姓名的动态名单,以及自动从已有的数据库提取命名数据,并在其中传播有关资料。将语义网络标签附加到整个Zoonom (Saliba等人,2021)或NOMEN (Yoder等人,2017)中的名称的链接也在考虑之中。
Lognom, Assisting in the Decision-Making and Management of Zoological Nomenclature
Nomenclature is the discipline of taxonomy responsible for managing the scientific names of groups of organisms. It ensures continuity in the transmission of all kinds of data and knowledge accumulated about taxa. Zoologists use the International Code of Zoological Nomenclature (International Commission on Zoological Nomenclature 1999), currently in its fourth edition. The Code contains the rules that allow the correct understanding and application of nomenclature, e.g., how to choose between two names applying to the same taxon. Nomenclature became more complex over the centuries, as rules appeared, disappeared, or evolved to adapt to scientific and technological changes (e.g., the inclusion of digital media) (International Commission on Zoological Nomenclature 2012). By adhering to nomenclatural rules, taxonomic databases, such as the Catalogue of Life (Bánki et al. 2023), can maintain the integrity and accuracy of taxon names, preventing confusion and ambiguity. Nomenclature also facilitates the linkage and integration of data across different databases, allowing for seamless collaboration and information exchange among researchers. However, unlike its final result, which is also called a nomenclature, the discipline itself has remained relatively impervious to computerization, until now. Lognom *1 is a free web application based on algorithms that facilitate decision-making in zoological nomenclature. It is not based on a pre-existing database, but instead provides an answer based on the user input, and relies on interactive form-based queries. This software aims to help taxonomists determine whether a name or work is available, whether spelling rules have been correctly applied, and whether all the relevant rules have been respected before a new name or work is published. Lognom also allows the user to obtain the valid name between several pre-registered candidate names, including the list of synonyms and the reason for their synonymy. It also includes tools for answering various nomenclatural questions, such as determining if two different species names with the same derivation and meaning should be treated as homonyms; if a name should be treated as a nomen oblitum under Art. 23.9 of the Code; and another tool to determine a genus-series name's grammatical gender. Lognom includes most of the rules regarding availability and validity, with the exception of those needing human interpretation, usually pertaining to Latin grammar. At this point of its development, homonymy is not completely included in the web app, nor are the rules linked to the management of type-specimens (e.g., lectotypification, neotypification), outside of their use in determining the availability of a name. With enough data entered by the users, Lognom should be able to model a modification of the rules and calculate its impact on the potential availability or spelling of existing names. Other prospectives include the possibility of working simultaneously on common projects, which should lead to dynamic lists of available names, as well as automatically extracting nomenclatural data from pre-existing databases, where relevant information is disseminated. A link to attach semantic web labels to names throughout Zoonom (Saliba et al. 2021) or NOMEN (Yoder et al. 2017) is also under consideration.