Ontology-based Data Access

基于本体的数据访问（OBDA）范式是近年来信息管理系统中知识表示和推理技术的一个令人兴奋的应用。 简而言之，其基本思想是通过使用本体将用户与原始数据分离来促进对数据的高级别访问，该本体提供面向用户的数据的“语义”视图，并使其可通过仅以本体的语言制定的查询来访问，而无需任何数据的实际结构的知识。由于这些原因，OBDA范例在许多生命科学应用中越来越受欢迎，包括结合患者记录或生物本体与基因组数据使用大型医学本体。在所有情况下，大量的数据和本体知识往往超过了现有的方法来解决这个问题的能力。

The paradigm of ontology-based data access (OBDA) has recently emerged as an exciting application of knowledge representation and reasoning technologies in information management systems. In a nutshell, the underlying idea is to facilitate high-level access to data by separating the user from the raw data using an ontology that provides a user-oriented "semantic" view of the data and makes it accessible via queries formulated solely in the language of the ontology without any knowledge of the actual structure of the data. For these reasons, the OBDA paradigm is gaining popularity in many life-sciences applications including the use of large medical ontologies in combination with patient records or biological ontologies with genomic data. In all cases, the volumes of data and of ontological knowledge often exceed the capabilities of existing approaches to this problem.