论文标题
联合和查询异质和分布的Web API和三重商店
Federating and querying heterogeneous and distributed Web APIs and triple stores
论文作者
论文摘要
当今的国际公司，例如BASF，BASF是作物保护行业的领先公司，生产和消费越来越多的数据，这些数据通常通过Web API分散和访问。此外，BASF利益的专有和公共数据中的一部分存储在三重商店中，并使用SPARQL查询语言访问。在不修改或复制原始数据源的情况下，将数据访问模式和数据的基本语义均匀化成为实现数据集成和互操作性的重要要求。在这项工作中，我们在工业设置中提出了一个联合数据集成体系结构，该架构依赖于基于本体的数据访问方法。在查询响应时间方面，我们的绩效评估表明，大多数查询都可以在1秒内回答。
Today's international corporations such as BASF, a leading company in the crop protection industry, produce and consume more and more data that are often fragmented and accessible through Web APIs. In addition, part of the proprietary and public data of BASF's interest are stored in triple stores and accessible with the SPARQL query language. Homogenizing the data access modes and the underlying semantics of the data without modifying or replicating the original data sources become important requirements to achieve data integration and interoperability. In this work, we propose a federated data integration architecture within an industrial setup, that relies on an ontology-based data access method. Our performance evaluation in terms of query response time showed that most queries can be answered in under 1 second.
