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BioMeRSA: The biology media repository with semantic augmentation.

机译:BioMeRSA:具有语义增强功能的生物学媒体存储库。

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摘要

With computers now capable of easily handling all kinds of multimedia files in vast quantity, and with the Internet now well-suited to exchange these files, we are faced with the challenge of organizing this data in such a way so as to make the information most useful and accessible. This holds true as well for media pertaining to the field of biology, where multimedia is particularly useful in education, as well as in research. To help address this, a software system with a Web-based interface has been developed for improving the accuracy and specificity of multimedia searching and browsing by integrating semantic data pertaining to the field of biology from the Unified Medical Language System (UMLS). Using the Biology Media Repository with Semantic Augmentation (BioMeRSA) system, users who are considered to be 'experts' can associate concepts from UMLS with multimedia files submitted by other users to provide semantic context for the files. These annotations are used to retrieve relevant files in the searching and browsing interfaces. A wide variety of image files are currently supported, with some limited support for video and audio files.
机译:如今,计算机能够轻松处理大量的各种多媒体文件,并且互联网现在非常适合交换这些文件,因此,我们面临着以这种方式组织数据以使信息最有效的挑战。有用且易于访问。对于涉及生物学领域的媒体也是如此,在多媒体领域,多媒体在教育和研究中特别有用。为了帮助解决这个问题,已经开发了具有基于Web的界面的软件系统,以通过整合来自统一医学语言系统(UMLS)的与生物学领域有关的语义数据来提高多媒体搜索和浏览的准确性和特异性。使用具有语义增强功能的生物媒体存储库(BioMeRSA),被认为是“专家”的用户可以将UMLS中的概念与其他用户提交的多媒体文件相关联,以提供文件的语义上下文。这些批注用于在搜索和浏览界面中检索相关文件。当前支持各种图像文件,但对视频和音频文件的支持有限。

著录项

  • 作者

    Cornwell, Adam.;

  • 作者单位

    Rochester Institute of Technology.;

  • 授予单位 Rochester Institute of Technology.;
  • 学科 Biology Bioinformatics.;Information Science.;Computer Science.
  • 学位 M.S.
  • 年度 2009
  • 页码 106 p.
  • 总页数 106
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 自动化技术、计算机技术;信息与知识传播;
  • 关键词

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