Name
Abstract | ||
|---|---|---|
The evaluation of matching applications is becoming a major issue in the semantic web and it requires a suitable methodological approach as well as appropriate benchmarks. In particular, in order to evaluate a matching application under different experimental conditions, it is crucial to provide a test dataset characterized by a controlled variety of different heterogeneities among data that rarely occurs in real data repositories. In this paper, we propose SWING (Semantic Web INstance Generation), a disciplined approach to the semi-automatic generation of benchmarks to be used for the evaluation of matching applications. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1007/978-3-642-21064-8_8 | ESWC (2) |
Keywords | Field | DocType |
different heterogeneity,suitable methodological approach,semantic web,semantic web instance generation,different experimental condition,controlled variety,disciplined approach,matching application,major issue,appropriate benchmarks,real data repository | World Wide Web,Computer science,Semantic Web,Property (programming),Social Semantic Web,Benchmarking,Swing | Conference |
Volume | ISSN | Citations |
6644 | 0302-9743 | 15 |
PageRank | References | Authors |
0.76 | 12 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alfio Ferrara | 1 | 710 | 59.86 |
| Stefano Montanelli | 2 | 422 | 42.17 |
| Jan Noessner | 3 | 167 | 9.75 |
| Heiner Stuckenschmidt | 4 | 2965 | 237.60 |