FINALGRANT: A Financial Linked Data Graph Analysis and Recommendation Tool View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2018

AUTHORS

José Luis Sánchez-Cervantes , Giner Alor-Hernández , María del Pilar Salas-Zárate , Jorge Luis García-Alcaraz , Lisbeth Rodríguez-Mazahua

ABSTRACT

Current digital financial information is generated by data located in a distributed but linked environment. In this sense, semantic technologies and linked data allow files and data alike to be first-class web resources and promote information distribution and knowledge sharing within a global, open-standard space known as the Data Web. This chapter proposes FINALGRANT as an alternative solution to analyzing and visualizing digital financial data. The tool retrieves XBRL-based financial data and transforms them into RDF triples through a process inspired in the linked data principles. FINALGRANT identifies and addresses some limitations of financial statements, such as the lack of a semantic property to interlink the data and make it navigable and the challenge of accessing information through Internet protocols, such as HTTP, to navigate among data and interconnect them with external data sources. Similarly, FINALGRANT can search for financial ratios and processes fundamental or classical analysis calculations to support fund investment decisions. More... »

PAGES

3-26

References to SciGraph publications

  • 2009. RDF Support in the Virtuoso DBMS in NETWORKED KNOWLEDGE - NETWORKED MEDIA
  • 2007. DBpedia: A Nucleus for a Web of Open Data in THE SEMANTIC WEB
  • Book

    TITLE

    Exploring Intelligent Decision Support Systems

    ISBN

    978-3-319-74001-0
    978-3-319-74002-7

    Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/978-3-319-74002-7_1

    DOI

    http://dx.doi.org/10.1007/978-3-319-74002-7_1

    DIMENSIONS

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