Semantic Interoperability in XBRL Reports via Collaborative Ontology Mappings and Linked Data Principles Boris Villazon-Terrazas 1 , Freddy Priyatna 2 , Jose-Luis Redondo-Garcia 3 , and Nandana Mihindukulasooriya 2 1 Fujitsu Laboratories of Europe, Madrid, Spain 2 Ontology Engineering Group, Universidad Polit´ ecnica de Madrid, Madrid, Spain 3 Amazon, Cambridge, UK boris.villazon.terrazas@uk.fujitsu.com, {fpriyatna,jlredondo,nmihindu}@fi.upm.es Abstract. In an increasingly digitalized world, financial institutions have become data hoarders and find it difficult to efficiently exploit and interpret data from various sources. XBRL provides a global standard to exchange financial information. Although XBRL solves the syntactic het- erogeneity problem, it doesnt solve the semantic heterogeneity problem when involving multiple taxonomies. In this paper we propose a collab- orative approach for mapping these different XBRL taxonomies into a reference ontology stored in our mapping repository, MappingPedia. Keywords: XBRL, Linked Data, Mappings 1 INTRODUCTION XBRL 1 (eXtensible Business Reporting Language) is a freely available and global standard for exchanging business information. An XBRL document consists of an XBRL instance containing the business facts being reported and a collection of taxonomies defining metadata about the business facts. Though XBRL is a good step towards efficient dissemination of financial data, it doesnt ensure semantic interoperability because many jurisdictions have developed different taxonomies making it difficult to perform cross-company comparisons [1]. Two main challenges for such comparisons are the lack of alignment between different taxonomies used and the lack of unique identifiers for companies across different sources[2]. This paper proposes the use of a collaborative mapping approach of the different XBRL taxonomies into a reference ontology, based on FIBO and Financial Regulation XBRL ontology to address the first challenge and the use of Linked Data principles to address the second challenge. This research is supported by the 4V Spanish national project (TIN2013-46238-C4- 2-R) project and the FPI grant (BES-2014-068449.) 1 http://www.xbrl.org/