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The Scientific World Journal
Volume 2014 (2014), Article ID 506740, 18 pages
Research Article

Using Data Crawlers and Semantic Web to Build Financial XBRL Data Generators: The SONAR Extension Approach

1Department of Informatics and Systems, University of Murcia, Espinardo, 30100 Murcia, Spain
2Bioinformatics at Centre for Plant Biotechnology and Genomics UPM-INIA, Polytechnic University of Madrid, Pozuelo de Alarcón, 28223 Madrid, Spain
3Computer Science Department, Carlos III University of Madrid, Leganés, 28911 Madrid, Spain

Received 26 August 2013; Accepted 24 October 2013; Published 23 January 2014

Academic Editors: H. Cheng and E. Denti

Copyright © 2014 Miguel Ángel Rodríguez-García et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


Precise, reliable and real-time financial information is critical for added-value financial services after the economic turmoil from which markets are still struggling to recover. Since the Web has become the most significant data source, intelligent crawlers based on Semantic Technologies have become trailblazers in the search of knowledge combining natural language processing and ontology engineering techniques. In this paper, we present the SONAR extension approach, which will leverage the potential of knowledge representation by extracting, managing, and turning scarce and disperse financial information into well-classified, structured, and widely used XBRL format-oriented knowledge, strongly supported by a proof-of-concept implementation and a thorough evaluation of the benefits of the approach.