On resource profiling and matching in an agent-based virtual organization

Grzegorz Fra̧ckowiak, Maria Ganzha, MacIej Gawinecki, Marcin Paprzycki, Michał Szymczak, Myon Woong Park, Yo Sub Han

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

In our work we are designing agent based support for workers in a virtual organization. In the system under development, all resources are to be ontologically demarcated and utilized through semantically- driven information processing techniques. This paper contains preliminary considerations concerning resource profiling and ontological matching methods which we intend to utilize within the system. Two applications that we are currently developing are used to illustrate the proposed approach.

Original languageEnglish
Title of host publicationArtificial Intelligence and Soft Computing - ICAISC 2008 - 9th International Conference, Proceedings
Pages1210-1221
Number of pages12
DOIs
Publication statusPublished - 2008 Aug 4
Event9th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2008 - Zakopane, Poland
Duration: 2008 Jun 222008 Jun 26

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5097 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other9th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2008
CountryPoland
CityZakopane
Period08/6/2208/6/26

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Fra̧ckowiak, G., Ganzha, M., Gawinecki, M., Paprzycki, M., Szymczak, M., Park, M. W., & Han, Y. S. (2008). On resource profiling and matching in an agent-based virtual organization. In Artificial Intelligence and Soft Computing - ICAISC 2008 - 9th International Conference, Proceedings (pp. 1210-1221). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 5097 LNAI). https://doi.org/10.1007/978-3-540-69731-2_113