منابع مشابه
Scientific Names and Descriptions for Organisms on the Semantic Web
An efficient process for creating precise, accurate, machine-interpretable morphological descriptions of groups of organisms is needed to more effectively gather observations of the world’s biodiversity. While morphological descriptions are required for the publication of modern scientific names, it is common for these descriptions to get revised after the initial publication which can lead to ...
متن کاملScientific author names: errors, corrections, and identity profiles
Authorship problems are deep-rooted in the field of science communication. Some of these relate to lack of specific journal instructions. For decades, experts in journal editing and publishing have been exploring the authorship criteria and contributions deserving either co-authorship or acknowledgment. The issue of inconsistencies of listing and abbreviating author names has come to the fore l...
متن کاملThe use and limits of scientific names in biological informatics
Scientific names serve to label biodiversity information: information related to species. Names, and their underlying taxonomic definitions, however, are unstable and ambiguous. This negatively impacts the utility of names as identifiers and as effective indexing tools in biological informatics where names are commonly utilized for searching, retrieving and integrating information about species...
متن کاملPlaying Biology's Name Game: Identifying Protein Names in Scientific Text
A growing body of work is devoted to the extraction of protein or gene interaction information from the scientific literature. Yet, the basis for most extraction algorithms, i.e. the specific and sensitive recognition of protein and gene names and their numerous synonyms, has not been adequately addressed. Here we describe the construction of a comprehensive general purpose name dictionary and ...
متن کاملTaxamatch, an Algorithm for Near (‘Fuzzy’) Matching of Scientific Names in Taxonomic Databases
Misspellings of organism scientific names create barriers to optimal storage and organization of biological data, reconciliation of data stored under different spelling variants of the same name, and appropriate responses from user queries to taxonomic data systems. This study presents an analysis of the nature of the problem from first principles, reviews some available algorithmic approaches,...
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ژورنال
عنوان ژورنال: Science
سال: 1884
ISSN: 0036-8075,1095-9203
DOI: 10.1126/science.ns-3.51.87