Objectives
- The uses-cases highlight how ATF principles enable the web automation of Knowledge Graphs. Web automation is the key to build a sustainable eco-system of KGs. Use-cases also allow to specify which queries the index has to answer and consequently, to specify an optimized ontology for the index.
| Deliverables | ID | authors | Date |
| KG bots | D.4.1 | All | T0+42 |
| Federated query processing | D.4.2 | All | T0+42 |
| O yeah verification | D.4.3 | All | T0+42 |
Partner’s contribution: Leader: GDD. Participants: BD, Wimmics
Methods and technical decisions
- For testing federated queries, we will deploy a federated query benchmark such as FedBench [46] or LargeRDFBench [47]. The method is to deploy benchmark datasets as KG on a DeKaloG server, trigger the DeKaloG indexing and then launch benchmark queries.
Risks fallbacks
- GDD and Wimmics already have federated query engines.
