Mosto: Generating SPARQL Executable Mappings Between Ontologies ⋆ ⋆⋆ Carlos R. Rivero, Inma Hern´andez, David Ruiz, and Rafael Corchuelo University of Sevilla, Spain {carlosrivero, inmahernandez, druiz, corchu}@us.es Abstract. Data translation is an integration task that aims at pop- ulating a target model with data of a source model, which is usually performed by means of mappings. To reduce costs, there are some tech- niques to automatically generate executable mappings in a given query language, which are executed using a query engine to perform the data translation task. Unfortunately, current approaches to automatically gen- erate executable mappings are based on nested relational models, which cannot be straightforwardly applied to semantic-web ontologies due to some differences between both models. In this paper, we present Mosto, a tool to perform the data translation using automatically generated SPARQL executable mappings. In this demo, ER attendees will have an opportunity to test this automatic generation when performing the data translation task between two different versions of the DBpedia ontology. Keywords: Information Integration, Data Translation, Semantic-web Ontologies, SPARQL executable mappings 1 Introduction Data translation is an integration task that aims at populating a target model with data of a source model, which is becoming a major research task in the semantic-web context [5,12]. Mediators are pieces of software that help perform this task, which rely on mappings that relate source and target models [4]. To reduce integration costs, some techniques automatically generate a set of uninterpreted mappings, a.k.a. correspondences, which must be interpreted to perform the data translation task [4]. They are hints that usually relate a source entity with a target entity, although they may be more complex [4]. The main issue regarding correspondences is that there is not a unique interpretation of them, i.e., different approaches interpret correspondences in different ways [2]. ⋆ Supported by the European Commission (FEDER), the Spanish and the An- dalusian R&D&I programmes (grants TIN2007-64119, P07-TIC-2602, P08-TIC- 4100, TIN2008-04718-E, TIN2010-21744, TIN2010-09809-E, TIN2010-10811-E, and TIN2010-09988-E). ⋆⋆ An implementation and examples regarding this paper are available at: http://tdg-seville.info/carlosrivero/Mosto 1