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Using Data Crawlers and Semantic Web to Build Financial XBRL Data Generators: The SONAR Extension Approach
Joint Authors
Valencia-Garcia, Rafael
Colomo-Palacios, R.
Rodríguez-García, Miguel Ángel
Rodríguez-González, Alejandro
Gómez-Berbís, Juan Miguel
García-Sánchez, Francisco
Source
Issue
Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-18, 18 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2014-01-23
Country of Publication
Egypt
No. of Pages
18
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
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.
American Psychological Association (APA)
Rodríguez-García, Miguel Ángel& Rodríguez-González, Alejandro& Colomo-Palacios, R.& Valencia-Garcia, Rafael& Gómez-Berbís, Juan Miguel& García-Sánchez, Francisco. 2014. Using Data Crawlers and Semantic Web to Build Financial XBRL Data Generators: The SONAR Extension Approach. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-18.
https://search.emarefa.net/detail/BIM-1049887
Modern Language Association (MLA)
Rodríguez-García, Miguel Ángel…[et al.]. Using Data Crawlers and Semantic Web to Build Financial XBRL Data Generators: The SONAR Extension Approach. The Scientific World Journal No. 2014 (2014), pp.1-18.
https://search.emarefa.net/detail/BIM-1049887
American Medical Association (AMA)
Rodríguez-García, Miguel Ángel& Rodríguez-González, Alejandro& Colomo-Palacios, R.& Valencia-Garcia, Rafael& Gómez-Berbís, Juan Miguel& García-Sánchez, Francisco. Using Data Crawlers and Semantic Web to Build Financial XBRL Data Generators: The SONAR Extension Approach. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-18.
https://search.emarefa.net/detail/BIM-1049887
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1049887