International Research and Training Centre of Information Technologies and Systems, National Academy of Sciences and Ministry of Education of Ukraine, Ukraine.
Inform Health Soc Care. 2013 Mar;38(2):150-70. doi: 10.3109/17538157.2012.735730. Epub 2013 Jan 16.
A large amount of biomedical and genomic data are currently available on the Internet. However, data are distributed into heterogeneous biological information sources, with little or even no organization. Semantic technologies provide a consistent and reliable basis with which to confront the challenges involved in the organization, manipulation and visualization of data and knowledge. One of the knowledge representation techniques used in semantic processing is the ontology, which is commonly defined as a formal and explicit specification of a shared conceptualization of a domain of interest. The work presented here introduces a set of interoperable algorithms that can use domain and ontological information to improve information-retrieval processes. This work presents an ontology-based information-retrieval system for the biomedical domain. This system, with which some experiments have been carried out that are described in this paper, is based on the use of domain ontologies for the creation and normalization of lightweight ontologies that represent user preferences in a determined domain in order to improve information-retrieval processes.
目前互联网上有大量的生物医学和基因组数据。然而，数据分布在异构的生物信息源中，几乎没有组织，甚至没有组织。语义技术为组织、操作和可视化数据和知识提供了一致和可靠的基础。语义处理中使用的知识表示技术之一是本体，它通常被定义为对感兴趣的领域的共享概念化的正式和显式规范。这里介绍的工作引入了一组可互操作的算法，这些算法可以使用领域和本体信息来改进信息检索过程。这项工作提出了一个基于本体的生物医学领域的信息检索系统。该系统在本文中进行了一些描述的实验的基础上，基于使用领域本体来创建和规范化轻量级本体，以表示用户在特定领域的偏好，从而改进信息检索过程。
