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

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

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 beco...

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Main Authors: Miguel Ángel Rodríguez-García, Alejandro Rodríguez-González, Ricardo Colomo-Palacios, Rafael Valencia-García, Juan Miguel Gómez-Berbís, Francisco García-Sánchez
Format: Article
Language:English
Published: Hindawi Limited 2014-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2014/506740
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spelling doaj-3cd19a1128154ac9bc8288d698e7d0142020-11-25T02:40:10ZengHindawi LimitedThe Scientific World Journal2356-61401537-744X2014-01-01201410.1155/2014/506740506740Using Data Crawlers and Semantic Web to Build Financial XBRL Data Generators: The SONAR Extension ApproachMiguel Ángel Rodríguez-García0Alejandro Rodríguez-González1Ricardo Colomo-Palacios2Rafael Valencia-García3Juan Miguel Gómez-Berbís4Francisco García-Sánchez5Department of Informatics and Systems, University of Murcia, Espinardo, 30100 Murcia, SpainBioinformatics at Centre for Plant Biotechnology and Genomics UPM-INIA, Polytechnic University of Madrid, Pozuelo de Alarcón, 28223 Madrid, SpainComputer Science Department, Carlos III University of Madrid, Leganés, 28911 Madrid, SpainDepartment of Informatics and Systems, University of Murcia, Espinardo, 30100 Murcia, SpainComputer Science Department, Carlos III University of Madrid, Leganés, 28911 Madrid, SpainDepartment of Informatics and Systems, University of Murcia, Espinardo, 30100 Murcia, SpainPrecise, 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.http://dx.doi.org/10.1155/2014/506740
collection DOAJ
language English
format Article
sources DOAJ
author Miguel Ángel Rodríguez-García
Alejandro Rodríguez-González
Ricardo Colomo-Palacios
Rafael Valencia-García
Juan Miguel Gómez-Berbís
Francisco García-Sánchez
spellingShingle Miguel Ángel Rodríguez-García
Alejandro Rodríguez-González
Ricardo Colomo-Palacios
Rafael Valencia-García
Juan Miguel Gómez-Berbís
Francisco García-Sánchez
Using Data Crawlers and Semantic Web to Build Financial XBRL Data Generators: The SONAR Extension Approach
The Scientific World Journal
author_facet Miguel Ángel Rodríguez-García
Alejandro Rodríguez-González
Ricardo Colomo-Palacios
Rafael Valencia-García
Juan Miguel Gómez-Berbís
Francisco García-Sánchez
author_sort Miguel Ángel Rodríguez-García
title Using Data Crawlers and Semantic Web to Build Financial XBRL Data Generators: The SONAR Extension Approach
title_short Using Data Crawlers and Semantic Web to Build Financial XBRL Data Generators: The SONAR Extension Approach
title_full Using Data Crawlers and Semantic Web to Build Financial XBRL Data Generators: The SONAR Extension Approach
title_fullStr Using Data Crawlers and Semantic Web to Build Financial XBRL Data Generators: The SONAR Extension Approach
title_full_unstemmed Using Data Crawlers and Semantic Web to Build Financial XBRL Data Generators: The SONAR Extension Approach
title_sort using data crawlers and semantic web to build financial xbrl data generators: the sonar extension approach
publisher Hindawi Limited
series The Scientific World Journal
issn 2356-6140
1537-744X
publishDate 2014-01-01
description 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.
url http://dx.doi.org/10.1155/2014/506740
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