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  • 标题:OSCAR4: a flexible architecture for chemical text-mining
  • 本地全文:下载
  • 作者:David M Jessop ; Sam E Adams ; Egon L Willighagen
  • 期刊名称:Journal of Cheminformatics
  • 印刷版ISSN:1758-2946
  • 电子版ISSN:1758-2946
  • 出版年度:2011
  • 卷号:3
  • 期号:1
  • 页码:41
  • DOI:10.1186/1758-2946-3-41
  • 语种:English
  • 出版社:BioMed Central
  • 摘要:The Open-Source Chemistry Analysis Routines (OSCAR) software, a toolkit for the recognition of named entities and data in chemistry publications, has been developed since 2002. Recent work has resulted in the separation of the core OSCAR functionality and its release as the OSCAR4 library. This library features a modular API (based on reduction of surface coupling) that permits client programmers to easily incorporate it into external applications. OSCAR4 offers a domain-independent architecture upon which chemistry specific text-mining tools can be built, and its development and usage are discussed.
  • 关键词:Plain Text ; European Patent Office ; European Bioinformatics Institute ; Java Virtual Machine ; Client Programmer
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