XBRL and open data for global financial ecosystems: A linked data approach

Information professionals performing business activity related investigative analysis must routinely associate data from a diverse range of Web based general-interest business and financial information sources. XBRL has become an integral part of the financial data landscape. At the same time, Open Data initiatives have contributed relevant financial, economic, and business data to the pool of publicly available information on the Web but the use of XBRL in combination with Open Data remains at an early state of realisation. In this paper we argue that Linked Data technology, created for Web scale information integration, can accommodate XBRL data and make it easier to combine it with open datasets. This can provide the foundations for a global data ecosystem of interlinked and interoperable financial and business information with the potential to leverage XBRL beyond its current regulatory and disclosure role. We outline the uses of Linked Data technologies to facilitate XBRL consumption in conjunction with non-XBRL Open Data, report on current activities and highlight remaining challenges in terms of information consolidation faced by both XBRL and Web technologies.

[1]  Margaret-Anne D. Storey,et al.  A Survey of Mashup Development Environments , 2010, The Smart Internet.

[2]  Martin Hepp,et al.  GoodRelations: An Ontology for Describing Products and Services Offers on the Web , 2008, EKAW.

[3]  Jens Lehmann,et al.  Triplify: light-weight linked data publication from relational databases , 2009, WWW '09.

[4]  Andrew McAfee,et al.  Enterprise 2.0: the dawn of emergent collaboration , 2006, IEEE Engineering Management Review.

[5]  James A. Hendler,et al.  Information accountability , 2008, CACM.

[6]  Manoj A. Thomas,et al.  An Ontological Approach to XBRL Financial Statement Reporting , 2011, AMCIS.

[7]  Tomás Knap,et al.  W3P: Building an OPM based provenance model for the Web , 2011, Future Gener. Comput. Syst..

[8]  Li Ding,et al.  Representing Financial Reports on the Semantic Web: - A Faithful Translation from XBRL to OWL , 2010, RuleML.

[9]  S. Decker,et al.  Using Naming Authority to Rank Data and Ontologies for Web Search , 2009, SEMWEB.

[10]  Pablo Castells,et al.  XBRL Taxonomies and OWL Ontologies for Investment Funds , 2006, ER.

[12]  Miklos A. Vasarhelyi,et al.  Financial Reporting and Auditing Agent with Net Knowledge (FRAANK) and eXtensible Business Reporting Language (XBRL) , 2005, J. Inf. Syst..

[13]  Hsinchun Chen,et al.  Textual analysis of stock market prediction using breaking financial news: The AZFin text system , 2009, TOIS.

[14]  Christian Bizer,et al.  D2R Server - Publishing Relational Databases on the Semantic Web , 2004 .

[15]  Martin Gaedke,et al.  Silk - A Link Discovery Framework for the Web of Data , 2009, LDOW.

[16]  Tomas Escobar-Rodriguez,et al.  Towards the global adoption of XBRL using International Financial Reporting Standards (IFRS) , 2009, Int. J. Account. Inf. Syst..

[17]  Darren Bush,et al.  The marketing consequences of competitor lawsuits , 2006 .

[18]  Rajasekar Krishnamurthy,et al.  Unleashing the Power of Public Data for Financial Risk Measurement, Regulation, and Governance , 2010 .

[19]  Nigel Shadbolt,et al.  Privacy on the data web , 2010, CACM.

[20]  Marcus Spies.  An ontology modelling perspective on business reporting , 2010, Inf. Syst..

[21]  Sumali J. Conlon,et al.  EDGAR Extraction System: An Automated Approach to Analyze Employee Stock Option Disclosures , 2006, J. Inf. Syst..

[22]  Detlef Seese,et al.  Automatic extraction and analysis of financial data from the EDGAR database , 2001 .

[23]  Andreas Harth,et al.  Challenges Ahead for Converging Financial Data , 2009 .

[24]  Dimitrios Skoutas,et al.  Representation of conceptual ETL designs in natural language using Semantic Web technology , 2010, Data Knowl. Eng..

[25]  Afra Pascual,et al.  Building a Usable and Accessible Semantic Web Interaction Platform , 2010, World Wide Web.

[26]  Miklos A. Vasarhelyi,et al.  Automating the Process of Taxonomy Creation and Comparison of Taxonomy Structures , 2010 .

[27]  Rafael Berlanga Llavori,et al.  Building data warehouses with semantic data , 2010, EDBT '10.

[28]  Sumali Conlon,et al.  Automatically Extracting and Tagging Business Information for E-Business Systems Using Linguistic Analysis , 2009 .

[29]  Edward Curry,et al.  Linked Data Driven Information Systems as an Enabler for Integrating Financial Data , 2019 .

[30]  John H. Gerdes,et al.  EDGAR-Analyzer: automating the analysis of corporate data contained in the SEC's EDGAR database , 2003, Decis. Support Syst..

[31]  Peter Spyns,et al.  Enhancing the Business Analysis Function with Semantics , 2006, OTM Conferences.

[32]  Tapio Niemi,et al.  An ETL Process for OLAP Using RDF/OWL Ontologies , 2009, J. Data Semant..

[33]  Paul Buitelaar,et al.  Semantic , Terminological and Linguistic Interpretation of XBRL , 2010 .

[34]  Thierry Declerck,et al.  Ontology-Driven Human Language Technology for Semantic-Based Business Intelligence , 2008, ECAI.

[35]  Axel Polleres,et al.  Rapid prototyping of semantic mash-ups through semantic web pipes , 2009, WWW '09.

[36]  Roger Debreceny,et al.  The production and use of semantically rich accounting reports on the Internet: XML and XBRL , 2001, Int. J. Account. Inf. Syst..

[37]  Gregory T. Gundlach.  Complexity Science and Antitrust? , 2006 .

[38]  Rosa Gil,et al.  Publishing XBRL as Linked Open Data , 2009 .

[39]  Stefano Spaccapietra,et al.  Journal on Data Semantics XIII , 2009, Journal on Data Semantics XIII.

[40]  Edward Curry,et al.  The Role of Community-Driven Data Curation for Enterprises , 2010, Linking Enterprise Data.

[41]  Olaf Hartig.  Provenance Information in the Web of Data , 2009, LDOW.

[42]  Kalina Bontcheva,et al.  Ontology-Based Information Extraction for Business Intelligence , 2007, ISWC/ASWC.

[43]  Seán O'Riain,et al.  Querying Heterogeneous Datasets on the Linked Data Web: Challenges, Approaches, and Trends , 2012, IEEE Internet Computing.

[44]  Thierry Declerck,et al.  Translating XBRL Into Description Logic. An Approach Using Protege, Sesame & OWL , 2006, BIS.