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ABSTRACT: XBRL is a language for the electronic communication of business and financial data. XBRL has been extended to a dozen countries and regions. With XBRL data growing exponentially, XBRL database retrieval has become the urgent problem. Using traditional keyword matching method to query XBRL data is not efficient. In this paper, under the combination of the semantic retrieval system and the traditional text retrieval system, a XBRL ontology-based semantic retrieval system is established in order to improve the data recall ratio and accuracy ratio.
Business Computing and Global Informatization (BCGIN), 2011 International Conference on; 08/2011
