Undefined 1 (2009) 1–5 1 IOS Press A RADAR for Information Reconciliation in Question Answering Systems over Linked Data 1 Editor(s): Name Surname, University, Country Solicited review(s): Name Surname, University, Country Open review(s): Name Surname, University, Country a, b c Elena Cabrio ⇤, Serena Villata and Alessio Palmero Aprosio a University of Nice Sophia Antipolis, 2000 Route des Lucioles BP93 06902, Sophia Antipolis - France E-mail:
[email protected] b CNRS - I3S laboratory, 2000 Route des Lucioles BP93 06902, Sophia Antipolis - France E-mail:
[email protected] c Fondazione Bruno Kessler, Via Sommarive, 18, 38123 Povo (TN) - Italy E-mail:
[email protected] Abstract. In the latest years, more and more structured data is published on the Web and the need to support typical Web users to access this body of information has become of crucial importance. Question Answering systems over Linked Data try to address this need by allowing users to query Linked Data using natural language. These systems may query at the same time different heterogenous interlinked datasets, that may provide different results for the same query. The obtained results can be related by a wide range of heterogenous relations, e.g., one can be the specification of the other, an acronym of the other, etc. In other cases, such results can contain an inconsistent set of information about the same topic. A well known example of such heterogenous interlinked datasets are language-specific DBpedia chapters, where the same information may be reported in different languages. Given the growing importance of multilingualism in the Semantic Web community, and in Question Answering over Linked Data in particular, we choose to apply information reconciliation to this scenario.