Federating and querying heterogeneous and distributed Web APIs and triple stores

TL;DR

This paper presents a federated architecture for integrating and querying heterogeneous Web APIs and triple stores using ontology-based data access, achieving fast query responses in an industrial context.

Contribution

It introduces a novel federated data integration architecture that unifies Web APIs and triple stores without data replication, enhancing interoperability.

Findings

Most queries answered in under 1 second

Effective integration of heterogeneous data sources

Ontology-based access improves data interoperability

Abstract

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.