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.Ministerio de Educación y Ciencia TIN2007-64119Junta de Andalucía P07-TIC-2602Junta de Andalucía P08- TIC-4100Ministerio de Ciencia e Innovación TIN2008-04718-EMinisterio de Ciencia e Innovación TIN2010-21744Ministerio de Ciencia e Innovación TIN2010-09809-EMinisterio de Ciencia e Innovación TIN2010-10811-EMinisterio de Ciencia e Innovación TIN2010-09988-EMinisterio de Economía y Competitividad TIN2011-15497-
