A Swarm Intelligence Solution for Financial Roadshow Documents

  • Authors:

  • Raed Issa;Rainer Unland;Cherif Branki;Hanno Hildmann;Tilmann Bitterberg;Lukasz Biegus

  • Affiliations:

  • University of Duisburg-Essen, Germany, Institute for Computer Science and Business Information Systems (ICB), {Raed.Issa, Rainer.Unland}@icb.uni-due.de;University of Duisburg-Essen, Germany, Institute for Computer Science and Business Information Systems (ICB), {Raed.Issa, Rainer.Unland}@icb.uni-due.de;School of Computing, University of the West of Scotland, Paisley, Scotland, {Cherif.Branki, Georg.Bitterberg, Hanno.Hildmann, Lukasz.Biegus}@uws.ac.uk;School of Computing, University of the West of Scotland, Paisley, Scotland, {Cherif.Branki, Georg.Bitterberg, Hanno.Hildmann, Lukasz.Biegus}@uws.ac.uk;School of Computing, University of the West of Scotland, Paisley, Scotland, {Cherif.Branki, Georg.Bitterberg, Hanno.Hildmann, Lukasz.Biegus}@uws.ac.uk;School of Computing, University of the West of Scotland, Paisley, Scotland, {Cherif.Branki, Georg.Bitterberg, Hanno.Hildmann, Lukasz.Biegus}@uws.ac.uk

  • Venue:
  • Proceedings of the 2009 conference on Techniques and Applications for Mobile Commerce: Proceedings of TAMoCo 2009
  • Year:
  • 2009

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Abstract

In this paper we aim to find a solution to harvest as much information as possible from unstructured documents. Firstly, we discuss a swarm intelligence (SI) based idea to unstructured documents in the field of financial roadshows. The paper commences by introducing the key concepts of SI. It will then lay out a problem description and discusses a case study with a formal description. Finally it presents a solution for roadshow documents.