• 主题
高级搜索  >
历史搜索 清空历史
首页> 美国卫生研究院文献>Computational and Mathematical Methods in Medicine >BioTCM-SE: A Semantic Search Engine for the Information Retrieval of Modern Biology and Traditional Chinese Medicine
【2h】

BioTCM-SE: A Semantic Search Engine for the Information Retrieval of Modern Biology and Traditional Chinese Medicine

机译：BioTCM-SE：用于现代生物学和中医药信息检索的语义搜索引擎

代理获取
本网站仅为用户提供外文OA文献查询和代理获取服务，本网站没有原文。下单后我们将采用程序或人工为您竭诚获取高质量的原文，但由于OA文献来源多样且变更频繁，仍可能出现获取不到、文献不完整或与标题不符等情况，如果获取不到我们将提供退款服务。请知悉。
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Understanding the functional mechanisms of the complex biological system as a whole is drawing more and more attention in global health care management. Traditional Chinese Medicine (TCM), essentially different from Western Medicine (WM), is gaining increasing attention due to its emphasis on individual wellness and natural herbal medicine, which satisfies the goal of integrative medicine. However, with the explosive growth of biomedical data on the Web, biomedical researchers are now confronted with the problem of large-scale data analysis and data query. Besides that, biomedical data also has a wide coverage which usually comes from multiple heterogeneous data sources and has different taxonomies, making it hard to integrate and query the big biomedical data. Embedded with domain knowledge from different disciplines all regarding human biological systems, the heterogeneous data repositories are implicitly connected by human expert knowledge. Traditional search engines cannot provide accurate and comprehensive search results for the semantically associated knowledge since they only support keywords-based searches. In this paper, we present BioTCM-SE, a semantic search engine for the information retrieval of modern biology and TCM, which provides biologists with a comprehensive and accurate associated knowledge query platform to greatly facilitate the implicit knowledge discovery between WM and TCM.
机译：整体上理解复杂生物系统的功能机制正在全球医疗保健管理中引起越来越多的关注。中西医（TCM）与西医（WM）本质上不同，由于其注重个体健康和满足集成医学目标的天然草药，因此受到越来越多的关注。但是，随着Web上生物医学数据的爆炸式增长，生物医学研究人员现在面临着大规模数据分析和数据查询的问题。除此之外，生物医学数据还具有广泛的覆盖范围，通常来自多个异构数据源，并且具有不同的分类法，这使得难以集成和查询大型生物医学数据。嵌入了来自不同学科的有关人类生物系统的领域知识，异构数据存储库被人类专家知识隐式地联系在一起。由于传统搜索引擎仅支持基于关键字的搜索，因此无法为语义相关的知识提供准确而全面的搜索结果。在本文中，我们介绍了BioTCM-SE，这是一种用于现代生物学和中医信息检索的语义搜索引擎，它为生物学家提供了一个全面而准确的关联知识查询平台，极大地促进了WM与中医之间的隐性知识发现。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
代理获取

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号