title: Using data crawlers and semantic Web to build financial XBRL data generators: the SONAR extension approach.
abstract: 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.
authors.affiliation: Department of Informatics and Systems, University of Murcia, Espinardo, 30100 Murcia, Spain.
authors.forename: Miguel Ángel
authors.initials: MÁ
authors.lastname: Rodríguez-García
authors.affiliation: Bioinformatics at Centre for Plant Biotechnology and Genomics UPM-INIA, Polytechnic University of Madrid, Pozuelo de Alarcón, 28223 Madrid, Spain.
authors.forename: Alejandro
authors.initials: A
authors.lastname: Rodríguez-González
authors.affiliation: Computer Science Department, Carlos III University of Madrid, Leganés, 28911 Madrid, Spain.
authors.forename: Ricardo
authors.identifier: 0000-0002-1555-9726
authors.initials: R
authors.lastname: Colomo-Palacios
authors.affiliation: Department of Informatics and Systems, University of Murcia, Espinardo, 30100 Murcia, Spain.
authors.forename: Rafael
authors.initials: R
authors.lastname: Valencia-García
authors.affiliation: Computer Science Department, Carlos III University of Madrid, Leganés, 28911 Madrid, Spain.
authors.forename: Juan Miguel
authors.initials: JM
authors.lastname: Gómez-Berbís
authors.affiliation: Department of Informatics and Systems, University of Murcia, Espinardo, 30100 Murcia, Spain.
authors.forename: Francisco
authors.identifier: 0000-0003-2667-5359
authors.initials: F
authors.lastname: García-Sánchez
mesh_terms: D057225:Data Mining / Q000379:methods*; D020407:Internet; D012660:Semantics