CBench: Demonstrating Comprehensive Evaluation of Question Answering Systems over Knowledge Graphs Through Deep Analysis of Benchmarks
Summary: CBench is an extensible benchmarking suite for QA over knowledge graphs that analyzes fine-grained linguistic, syntactic, and structural properties of benchmarks. It augments popular benchmarks with user data and offers multi-metric evaluation plus diagnostic analyses to reveal QA strengths and gaps. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Abdelghny Orogat (Carleton University)
- 2. Ahmed El-Roby (Carleton University)
BibTeX Citation
@article{orogat_vldb21,
title = {{CBench: Demonstrating Comprehensive Evaluation of Question Answering Systems over Knowledge Graphs Through Deep Analysis of Benchmarks}},
author = {Orogat, Abdelghny and El-Roby, Ahmed},
journal = {PVLDB},
series = {{VLDB} '21},
volume = {14},
number = {12},
pages = {2711--2714},
doi = {10.14778/3476311.3476326},
url = {https://doi.org/10.14778/3476311.3476326},
year = {2021}
}Incoming Citations (Sorted by Pagerank)
Showing 2 of 2 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 5,969 | Maestro: Automatic Generation of Comprehensive Benchmarks for Question Answering Over Knowledge Graphs | 2023 | SIGMOD | 6.0247307e-05 |
| 9,286 | SmartBench: Demonstrating Automatic Generation of Comprehensive Benchmarks for Question Answering Over Knowledge Graphs | 2022 | VLDB | 5.2917932e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 1 of 1 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 11,694 | CBench: Towards Better Evaluation of Question Answering Over Knowledge Graphs | 2021 | VLDB | 5.093636e-05 |
Previous
Page 1 / 1
Next