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首页> 外文期刊>Journal of Structural Biology >A framework for querying a database for structural information on 3D images of macromolecules: A web-based query-by-content prototype on the BioImage macromolecular server.
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A framework for querying a database for structural information on 3D images of macromolecules: A web-based query-by-content prototype on the BioImage macromolecular server.

机译：用于查询数据库以获取有关大分子3D图像的结构信息的框架：BioImage大分子服务器上基于Web的按内容查询原型。

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摘要

Nowadays we are experiencing a remarkable growth in the number of databases that have become accessible over the Web. However, in a certain number of cases, for example, in the case of BioImage, this information is not of a textual nature, thus posing new challenges in the design of tools to handle these data. In this work, we concentrate on the development of new mechanisms aimed at "querying" these databases of complex data sets by their intrinsic content, rather than by their textual annotations only. We concentrate our efforts on a subset of BioImage containing 3D images (volumes) of biological macromolecules, implementing a first prototype of a "query-by-content" system. In the context of databases of complex data types the term query-by-content makes reference to those data modeling techniques in which user-defined functions aim at "understanding" (to some extent) the informational content of the data sets. In these systems the matching criteria introduced by the user are related to intrinsic features concerning the 3D images themselves, hence, complementing traditional queries by textual key words only. Efficient computational algorithms are required in order to "extract" structural information of the 3D images prior to storing them in the database. Also, easy-to-use interfaces should be implemented in order to obtain feedback from the expert. Our query-by-content prototype is used to construct a concrete query, making use of basic structural features, which are then evaluated over a set of three-dimensional images of biological macromolecules. This experimental implementation can be accessed via the Web at the BioImage server in Madrid, at http://www.bioimage.org/qbc/index.html. Copyright 1999 Academic Press.
机译：如今，通过Web可以访问的数据库数量正在急剧增长。但是，在某些情况下，例如在BioImage的情况下，此信息不是文本性质的，因此在处理这些数据的工具设计中提出了新的挑战。在这项工作中，我们专注于开发新机制，旨在通过其内在内容而不是仅通过文本注释来“查询”复杂数据集的数据库。我们将精力集中在包含生物大分子3D图像（体积）的BioImage子集中，从而实现“按内容查询”系统的第一个原型。在复杂数据类型的数据库的上下文中，按内容查询一词指的是那些数据建模技术，其中用户定义的功能旨在（在某种程度上）“理解”数据集的信息内容。在这些系统中，用户引入的匹配标准与涉及3D图像本身的固有特征有关，因此仅通过文本关键字来补充传统查询。为了在将3D图像存储在数据库中之前“提取” 3D图像的结构信息，需要高效的计算算法。另外，应该实现易于使用的界面，以便从专家那里获得反馈。我们的按内容查询原型用于利用基本结构特征来构建具体查询，然后对一系列生物大分子三维图像进行评估。可以在马德里的BioImage服务器上通过Web访问该实验性实现，网址为http://www.bioimage.org/qbc/index.html。版权所有1999，学术出版社。

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