A Data-Driven Model for Linking Open Economic Information

While public finance data are becoming openly available as part of the broader promotion of fiscal transparency, there is little effort towards maximizing their potential value by interlinking them under a concrete framework and establishing the means to extract interesting insights. The Linked Open Economy model (LOE) aims to act as a top-level conceptualization that connects economic flows with open economic data and as an adaptable and extensible underlying model for modelling different scenarios. The paper presents the LOE model, emphasizing its theoretical foundations. Furthermore, it presents the usage of the model in realistic settings, showcasing its extensibility and its ability to address interesting questions.

[1]  Jose María Álvarez Rodríguez,et al.  Insights in global public spending , 2013, I-SEMANTICS '13.

[2]  Vasant Dhar,et al.  Editorial - Big Data, Data Science, and Analytics: The Opportunity and Challenge for IS Research , 2014, Inf. Syst. Res..

[3]  Sören Auer,et al.  "How Much?" is not Enough: an Analysis of Open Budget Initiatives , 2015, ICEGOV.

[4]  Veda C. Storey,et al.  Business Intelligence and Analytics: From Big Data to Big Impact , 2012, MIS Q..

[5]  Jens Lehmann,et al.  LinkedSpending: OpenSpending becomes Linked Open Data , 2015, Semantic Web.

[6]  Rob Kitchin,et al.  The data revolution : big data, open data, data infrastructures & their consequences , 2014 .

[7]  Ioannis Anagnostopoulos,et al.  Public Spending as LOD: The Case of Greece , 2013 .

[8]  Bin Fang,et al.  Big Data in Finance , 2016 .

[9]  A. Stott Open data for economic growth , 2014 .

[10]  Fatemeh Ahmadi Zeleti,et al.  Exploring the economic value of open government data , 2016, Gov. Inf. Q..

[11]  Omar Chiotti,et al.  A process for building a domain ontology: an experience in developing a government budgetary ontology , 2006 .

[12]  Marios Meimaris,et al.  Weaving the Economic Linked Open Data , 2012, 2012 Seventh International Workshop on Semantic and Social Media Adaptation and Personalization.

[13]  Luís Sérgio de Oliveira Araújo,et al.  The Brazilian federal budget ontology: a semantic web case of public open data , 2015, MEDES.

[14]  Gisele da Silva Craveiro,et al.  Challenges and requirements for the standardisation of open budgetary data in the Brazilian public administration , 2013, GI-Jahrestagung.

[15]  Patricia Ordóñez de Pablos,et al.  New trends on e-Procurement applying semantic technologies: Current status and future challenges , 2014, Comput. Ind..