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<pdf width="1500px">https://ceur-ws.org/Vol-1240/feosw2014-preface.pdf</pdf>
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                Proceedings of the
               Second International
               Workshop on Finance
               and Economics on the
                   Semantic Web
                  (FEOSW 2014)

       Held at the 11th Extended
       Semantic Web Conference
             (ESWC 2014)



               May 26th, Anissaras,
                 Crete, Greece
                                            	
  

	
  



                            Preface FEOSW2014


Financial statements and their importance due the current economic situation make the
headlines of the most important media all over the world on a daily basis. Beginning of
July, 2014, one of the brightest stars of the Madrid stock market imploded after WiFi
provider “Let´s Gowex” was forced to declare bankruptcy and admit that its chief
executive and founder had falsified the company financial statements for at least the
past four years.
According to the Financial Times, the board of Gowex said it had accepted the
resignation of Jenaro García Martín after he took full responsibility for fake accounts.
Gowex’s collapse is likely to deal a heavy blow to investor confidence in the Spanish
stock market and its regulators, coming so soon after a similar accounting scandal
brought down Pescanova, the frozen fish group.
One of the major goals of the FEOSW workshop has always been enabling through
technology a further Knowledge and Information Systems management of financial
information. Semantic Technologies and Data Science are two powerful innovation
waves, which will leverage the power of applying inference and intelligent querying to
the financial domain, bridging the gap between old-fashioned human-oriented tedious
analysis of financial data to a new generation of algorithms-based systems with full
spectrum of financial markets coverage.
Finally, we hereby introduce the best works presented to the FEOSW workshop and we
hope this could attain to bringing financial information management to their full
potential. With that very purpose, we will commit on celebrating the next FEOSW
generation in the context of the ESWC.


                                                                  Ángel García-Crespo
                                                            Juan Miguel Gómez-Berbís
                                                                    Mateusz Radzimski
                                                           José Luis Sánchez Cervantes


	
  

	
  

	
  
                                 Organization


Organizing Committee
Angel García Crespo (University Carlos III of Madrid, Spain)
Juan Miguel Gómez Berbís (University Carlos III of Madrid, Spain)
Mateusz Radzimski (ATOS Research & Innovation, Spain)
José Luis Sánchez Cervantes (University Carlos III of Madrid, Spain)
	
  

Program Committee
Ricardo Colomo Palacios, PhD, University Carlos III of Madrid, Spain
Alejandro Rodríguez González, PhD, Universidad Politechnica de Madrid,
Spain
Tomás Pariente Lobo, ATOS Research and Innovation, Spain
Miha Grčar, Jožef Stefan Institute, Slovenia
Achim Klein, Universität Hohenheim, Germany
André Freitas, Digital Enterprise Research Institute (DERI), Ireland
Gandhi Hernandez Chan, PhD, Universidad Tecnológica Metropolitana,
Mexico
Yull Gallardo, University Carlos III of Madrid, Spain
Israel González Carrasco, PhD, University Carlos III of Madrid, Spain
José Luis López Cuadrado, PhD, University Carlos III of Madrid, Spain
Ioan Toma, PhD, Semantic Technology Institute (STI), Austria


Sponsorship
Ministry of Economy and Competitiveness under the project FLORA
(TIN2011-27405)




University Carlos III of Madrid. SoftLab group.	
  
	
  

	
  
                                 Table of Contents


1   A Linked Data Approach to Sentiment and Emotion Analysis of
    Twitter in the Financial Domain
    J. Fernando Sánchez-Rada, Marcos Torres, Carlos A. Iglesias,
    Roberto Maestre and Esther Peinado ....................................................... 51
2   Analyzing Stock Market Fraud Cases Using a Linguistics-
    Based Text Mining Approach
    Mohamed Zaki and Babis Theodoulidis ................................................. 63
3   Predicting the impact of central bank communications on
    financial market investors’ interest rate expectations
    Andy Moniz and Franciska de Jong ......................................................... 75
4   Predicting stocks returns correlations based on unstructured
    data sources
    Mateusz Radzimski, Jose Luis Sanchez Cervantes, Jose Luis
    Lopez Cuadrado and Angel Garcia Crespo .............................................. 87




                                              	
  

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