Gut microbiota plays a crucial role in modulating pig development and health, and gut microbiota characteristics are associated with differences in feed efficiency. To answer open questions in feed efficiency analysis, biologists seek to retrieve information across multiple heterogeneous data sources. However, this is error-prone and time-consuming work since the queries can involve a sequence of multiple sub-queries over several databases. We present an implementation of an ontology-based Swine Gut Microbiota Federated Query Platform (SGMFQP) that provides a convenient, automated, and efficient query service about swine feeding and gut microbiota. The system is constructed based on a domain-specific Swine Gut Microbiota Ontology (SGMO), which facilitates the construction of queries independent of the actual organization of the data in the individual sources. This process is supported by a template-based query interface. A Datalog+-based federated query engine transforms the queries into sub-queries tailored for each individual data source, and an automated workflow orchestration mechanism executes the queries in each source database and consolidates the results. The efficiency of the system is demonstrated on several swine feeding scenarios.
翻译:古特微生物在调节猪的发育和健康方面发挥着关键作用,而肠内微生物特性与饲料效率的差异有关。为了回答饲料效率分析方面的公开问题,生物学家寻求从多种不同的数据来源检索信息。然而,这是容易出错和费时的工作,因为查询可能涉及多个数据库的多个子查询序列。我们介绍了一个基于本体的Sweine Gut Micioto Freed Query平台(SGMFQP)的实施,该平台为猪喂养和肠内微生物提供了方便、自动和有效的查询服务。该系统基于一个特定的网域Sweine Gut Miciota Ontlogy(SGMO),它有助于构建独立于单个来源数据实际组织的查询。这一过程得到基于模板的查询界面接口的支持。一个基于数据+的基式查询引擎将查询转换为针对每个数据来源的子查询,一个自动工作流程调控机制在每一个源数据库中进行查询并整合结果。该系统的效率在几种猪喂养情景中得到了证明。