Towards Faster Reformulation-based Query Answering on RDF Graphs with RDFS Ontologies
2021
Answering queries on RDF knowledge bases is a crucial data management task, usually performed through either graph saturation or query reformulation. In this short paper, we optimize our recent stateof-the-art query reformulation technique for RDF graphs with RDFS ontologies [2], and we report on preliminary encouraging experiments showing performance improvement by up to two orders of magnitudes!
Keywords:
- Correction
- Source
- Cite
- Save
- Machine Reading By IdeaReader
8
References
0
Citations
NaN
KQI