Conference paper Open Access
Developing a Benchmark Suite for Semantic Web Data from Existing Workflows
Troumpoukis, Antonis; Charalambidis, Angelos; Mouchakis, Giannis; Konstantopoulos, Stasinos; Siebes, Ronald; de Boer, Victor; Soiland-Reyes, Stian; Digles, Daniela
This paper presents work in progress towards developing a new benchmark for federated query processing systems. Unlike other popular benchmarks, our queryset is not driven by technical evaluation, but is derived from workflows established by the pharmacology community. The value of this queryset is that it is realistic but at the same time it comprises complex queries that test all features of modern query processing systems.
Files
(253.1 kB)
| Name | Size | |
|---|---|---|
|
blink2016.pdf
md5:be98d1dec8ea164f5642cb83c5c0bc48 |
253.1 kB | Download |
55
12
views
downloads
| All versions | This version | |
|---|---|---|
| Views | 55 | 55 |
| Downloads | 12 | 12 |
| Data volume | 3.0 MB | 3.0 MB |
| Unique views | 53 | 53 |
| Unique downloads | 11 | 11 |
Indexed in
- Publication date:
- October 18, 2016
- DOI:
-
- Keyword(s):
- Triple store benchmarking Pharmacology data Distributed and federated querying
- Grants:
-
European Commission:
- BigDataEurope - Integrating Big Data, Software and Communities for Addressing Europe’s Societal Challenges (644564)
- Meeting:
- Workshop on Benchmarking Linked Data (BLINK), Kobe, Japan, 18 October 2016
- Related identifiers:
- Identical to:
http://ceur-ws.org/Vol-1700/paper-04.pdf - Part of:
http://ceur-ws.org/Vol-1700 - Communities:
- License (for files):
- Other (Attribution)