Federating and querying heterogeneous and distributed Web APIs and triple stores
Tarcisio Mendes de Farias, Christophe Dessimoz, Aaron Ayllon Benitez,, Chen Yang, Jiao Long, Ana-Claudia Sima

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.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsService-Oriented Architecture and Web Services · Semantic Web and Ontologies · Advanced Database Systems and Queries
