Hoehndorf Robert, Gkoutos Georgios V, Schofield Paul N
Computational Bioscience Research Center, King Abdullah University of Science and Technology, 4700 King Abdullah University of Science and Technology, Thuwal, 23955-6900, Kingdom of Saudi Arabia.
Department of Computer Science, Aberystwyth University, Llandinam Building, Aberystwyth, SY23 3DB, UK.
Methods Mol Biol. 2016;1415:385-97. doi: 10.1007/978-1-4939-3572-7_19.
The use of ontologies has increased rapidly over the past decade and they now provide a key component of most major databases in biology and biomedicine. Consequently, datamining over these databases benefits from considering the specific structure and content of ontologies, and several methods have been developed to use ontologies in datamining applications. Here, we discuss the principles of ontology structure, and datamining methods that rely on ontologies. The impact of these methods in the biological and biomedical sciences has been profound and is likely to increase as more datasets are becoming available using common, shared ontologies.
在过去十年中，本体的使用迅速增加，它们现在是生物学和生物医学中大多数主要数据库的关键组成部分。因此，对这些数据库进行数据挖掘受益于考虑本体的特定结构和内容，并且已经开发了几种方法来在数据挖掘应用中使用本体。在这里，我们讨论本体结构的原理以及依赖本体的数据挖掘方法。这些方法在生物和生物医学科学中的影响是深远的，并且随着越来越多的数据集使用通用的、共享的本体变得可用，这种影响可能会增加。
