化学品数据信息搜索引擎ChemDB Portal

发布时间：2018-02-26 20:10

本文关键词： 化学品搜索引擎化学深层网数据提取化学搜索引擎化学结构检索　出处：《化学通报》2011年10期 　论文类型：期刊论文

【摘要】：化学品的性质、用途、安全使用等相关的知识是专业人员、特别是工业界的从业人员最大程度地降低健康和环境风险,合理地合成新化学品以及利用已有化学品的基础,也是公众消除对化学的误解、客观认识化学品在日常生活中功用和使用限度的前提。利用网络化、可公开访问的化学数据库资源获取化学品数据信息日益成为首选的途径,但目前对这些数据库的检索仍然是分散的单库检索,利用通用的文本搜索引擎如Google、百度还不能对这些库进行统一、有效的检索。最近几年来为解决网络化学数据库的统一检索问题出现了两种策略,一种基于information repository,另一种基于化学深层网的数据提取。本文简要介绍基于化学深层网的数据提取实现网络上多来源化学数据库统一检索的方法以及在此基础上建立的化学品数据信息搜索引擎ChemDB Portal(http://www.chemdb-portal.cn)。
[Abstract]:Knowledge of the nature, use and safe use of chemicals is the basis for minimizing health and environmental risks for professionals, especially those in industry, for the rational synthesis of new chemicals and for the use of existing chemicals, It is also a prerequisite for the public to eliminate misunderstandings about chemistry and to objectively understand the function and limit of use of chemicals in daily life. Using the chemical database resources, which can be accessed publicly through the network, is increasingly becoming the preferred way to obtain chemical data information. However, at present, the retrieval of these databases is still a decentralized single-library search. Using common text search engines such as Google, Baidu has not been able to unify these libraries. Effective retrieval. In recent years, two strategies have emerged to solve the problem of unified retrieval of network chemical databases. One is based on information repository, the other is based on chemical deep network. This paper briefly introduces the method of data extraction based on chemical deep network to realize the unified retrieval of multi-source chemical database on the network. Chemical data search engine ChemDB Portal: http: / / www.chemdb-portal.cnn.com.
【作者单位】：中国科学院过程工程研究所多相复杂系统国家重点实验室;
【基金】：国家自然科学基金项目(90612015,20673119,20221603)资助
【分类号】：TP391.3

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