Name
Abstract | ||
|---|---|---|
The increasing popularity of the Web of Data is motivating the need to integrate semantic-web ontologies. Data exchange is one integration approach that aims to populate a target ontology using data that come from one or more source ontologies. Currently, there exist a variety of systems that are suitable to perform data exchange among these ontologies; unfortunately, they have uneven performance, which makes it appealing assessing and ranking them from an empirical point of view. In the bibliography, there exist a number of benchmarks, but they cannot be applied to this context because they are not suitable for testing semantic-web ontologies or they do not focus on data exchange problems. In this paper, we present MostoBM, a benchmark for testing data exchange systems in the context of such ontologies. It provides a catalogue of three real-world and seven synthetic data exchange patterns, which can be instantiated into a variety of scenarios using some parameters. These scenarios help to analyze how the performance of data exchange systems evolves as the exchanging ontologies are scaled in structured and/or data. Finally, we provide an evaluation methodology to compare data exchange systems side by side and to make informed and statistically sound decisions regarding: 1) which data exchange system performs better; and 2) how the performance of a system is influenced by the parameters of our benchmark. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/TKDE.2012.175 | Knowledge and Data Engineering, IEEE Transactions |
Keywords | Field | DocType |
bibliographies,electronic data interchange,ontologies (artificial intelligence),semantic Web,MostoBM,bibliography,data Web,data exchange benchmarking,data exchange system testing,evaluation methodology,real-world data exchange pattern,semantic-Web ontologies,synthetic data exchange pattern,Performance and scalability,Web of data,data exchange | Ontology (information science),Data mining,Data modeling,Data exchange,Ranking,Electronic data interchange,Computer science,Semantic Web,Test data,RDF | Journal |
Volume | Issue | ISSN |
25 | 9 | 1041-4347 |
Citations | PageRank | References |
10 | 0.53 | 21 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Carlos R. Rivero | 1 | 111 | 16.25 |
| Inma Hernandez | 2 | 10 | 0.53 |
| David Ruiz | 3 | 152 | 20.62 |
| Rafael Corchuelo | 4 | 389 | 49.87 |