A digital library framework for biodiversity information systems
A digital library framework for biodiversity information systems
复制标题
生物多样性信息系统数字图书馆框架
DOI：
10.1007/s00799-005-0124-1
复制
发表时间：
2006
影响因子：
1.5
通讯作者：
Edward A. Fox
中科院分区：
文献类型：
--
作者：
Ricardo da Silva Torres;Claudia Bauzer Medeiros;M. A. Gonçalves;Edward A. Fox
生物多样性信息系统涉及各种异构数据，包括生态和地理特征。然而，现有的信息系统对综合管理这类数据的支持非常有限。此外，这样的系统不完全支持图像内容（例如，景观或生物体的照片）管理，这是许多BIS最终用户的要求。为了满足他们的需求，这些用户，例如，生物学家、环境专家常常不得不在单独的生物多样性和图像信息系统之间交替，以将从它们提取的信息联合收割机组合。这妨碍了新数据源的增加以及科学家之间的合作。本文提供的方法，以满足这些问题的基础上，利用数字图书馆创新的进步，整合网络收集的异构数据。它的重点是创建下一代BIS的基础上，结合基于内容的图像检索和数据库查询处理机制的新技术。本文展示了使用这种基于组件的架构，以支持创建两个量身定制的BIS系统处理鱼类标本识别使用搜索技术。实验结果表明，这种新的方法提高了鱼类识别过程的有效性，相比传统的基于密钥的方法。
Biodiversity Information Systems (BISs) involve all kinds of heterogeneous data, which include ecological and geographical features. However, available information systems offer very limited support for managing these kinds of data in an integrated fashion. Furthermore, such systems do not fully support image content (e.g., photos of landscapes or living organisms) management, a requirement of many BIS end-users. In order to meet their needs, these users—e.g., biologists, environmental experts—often have to alternate between separate biodiversity and image information systems to combine information extracted from them. This hampers the addition of new data sources, as well as cooperation among scientists. The approach provided in this paper to meet these issues is based on taking advantage of advances in digital library innovations to integrate networked collections of heterogeneous data. It focuses on creating the basis for a next-generation BIS, combining new techniques of content-based image retrieval and database query processing mechanisms. This paper shows the use of this component-based architecture to support the creation of two tailored BIS systems dealing with fish specimen identification using search techniques. Experimental results suggest that this new approach improves the effectiveness of the fish identification process, when compared to the traditional key-based method.