Conference paper Open Access
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
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.
| Name | Size | |
|---|---|---|
|
paper.pdf
md5:00ec2cc510c1a9cd0faf7a2e8a2697f3 |
304.2 kB | Download |
|
poster.pdf
md5:16289a731fc9f4132a702324dc515fd0 |
704.0 kB | Download |
| All versions | This version | |
|---|---|---|
| Views | 221 | 221 |
| Downloads | 142 | 142 |
| Data volume | 48.0 MB | 48.0 MB |
| Unique views | 184 | 184 |
| Unique downloads | 127 | 127 |
- Publication date:
- August 2, 2022
- DOI:
-
- Keyword(s):
- Ontology-based data access Data integration and interoperability Virtual knowledge graph Bioinformatics databases in industry SPARQL Web API
- Related identifiers:
- Obsoletes
- 10.48550/arxiv.2206.01594 (Preprint)
- Communities:
- License (for files):
- Creative Commons Attribution 4.0 International