基于语义网技术的生物学数据集成
Biological data integration using Semantic Web technologies
摘要：
目前的生物学研究在很大程度上依赖于信息的可用性和有效利用。为了建立新的知识，必须经常将各种来源的生物学数据结合起来。语义网技术提供了一个共同的框架，允许数据在应用程序之间共享和重用，可应用于管理传播的生物学数据。然而，由于生物学数据的一些特殊性，这些技术在生命科学中的应用构成了一个真正的挑战。通过一个生物学数据集成的用例，我们在本文中表明，目前的语义Web技术开始变得成熟，可以应用于大型应用程序的开发。然而，为了从这些技术中获得最佳效果，需要在工具性能和知识建模两个层面上进行改进。
英文摘要：
Current research in biology heavily depends on the availability and efficient use of information. In order to build new knowledge, various sources of biological data must often be combined. Semantic Web technologies, which provide a common framework allowing data to be shared and reused between applications, can be applied to the management of disseminated biological data. However, due to some specificities of biological data, the application of these technologies to life science constitutes a real challenge. Through a use case of biological data integration, we show in this paper that current Semantic Web technologies start to become mature and can be applied for the development of large applications. However, in order to get the best from these technologies, improvements are needed both at the level of tool performance and knowledge modeling.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
