Gutierrez Fernando
Department of Computer and Information Science, University of Oregon, 120 Deschutes Hall, 1477 E. 13th Ave., Eugene, OR, 97403, USA.
Methods Mol Biol. 2017;1617:83-91. doi: 10.1007/978-1-4939-7046-9_6.
As information available through data repositories constantly grows, the need for automated mechanisms for linking, querying, and sharing data has become a relevant factor both in research and industry. This situation is more evident in research fields such as the life sciences, where new experiments by different research groups are constantly generating new information regarding a wide variety of related study objects. However, current methods for representing information and knowledge are not suited for machine processing. The Semantic Technologies are a set of standards and protocols that intend to provide methods for representing and handling data that encourages reusability of information and is machine-readable. In this chapter, we will provide a brief introduction to Semantic Technologies, and how these protocols and standards have been incorporated into the life sciences to facilitate dissemination and access to information.
随着通过数据存储库获取的信息不断增长，在研究和工业领域，用于链接、查询和共享数据的自动化机制的需求已成为一个重要因素。这种情况在生命科学等研究领域更为明显，不同研究小组的新实验不断产生有关各种相关研究对象的新信息。然而，当前表示信息和知识的方法并不适合机器处理。语义技术是一组标准和协议，旨在提供表示和处理数据的方法，以促进信息的可重用性且机器可读。在本章中，我们将简要介绍语义技术，以及这些协议和标准如何被纳入生命科学领域以促进信息的传播和获取。
