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A Conceptual Model for a Multiagent Knowledge Building System

Antonina Kloptchenko, Tomas Eklund, Adrian Costea, Barbro Back, A Conceptual Model for a Multiagent Knowledge Building System. In: Olivier Camp, Mario Piattini (Eds.), Proceedings of the 5th International Conference on Enterprise Information Systems (ICEIS 2003), 2, 223–228, ICEIS Org, 2003.

Abstract:

Financial decision makers are challenged by the access to massive
amounts of both numeric and textual financial information made
achievable by the Internet. They are in need of a tool that makes
possible rapid and accurate analysis of both quantitative and
qualitative information, in order to extract knowledge for decision
making. In this paper we propose a conceptual model of a knowledge-
building system for decision support based on a society of software
agents, and data and text mining methods.

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BibTeX entry:

@INPROCEEDINGS{inpKlEkCoBa03a,
  title = {A Conceptual Model for a Multiagent Knowledge Building System},
  booktitle = {Proceedings of the 5th International Conference on Enterprise Information Systems (ICEIS 2003)},
  author = {Kloptchenko, Antonina and Eklund, Tomas and Costea, Adrian and Back, Barbro},
  volume = {2},
  editor = {Camp, Olivier and Piattini, Mario},
  publisher = {ICEIS Org},
  pages = {223–228},
  year = {2003},
  keywords = {Software agents and multiagent systems, financial analysis, data mining, text mining},
}

Belongs to TUCS Research Unit(s): Data Mining and Knowledge Management Laboratory

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