Semantic Interoperability in XBRL Reports via Collaborative Ontology Mappings and Linked Data Principles
نویسندگان
چکیده
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 heterogeneity problem, it doesnt solve the semantic heterogeneity problem when involving multiple taxonomies. In this paper we propose a collaborative approach for mapping these different XBRL taxonomies into a reference ontology stored in our mapping repository, MappingPedia.
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