A knowledge-based advisory system model

György Strausz, Tamás Mészáros, T. Dobrowiecki

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

Abstract

We present the goals and the first results of the IKF-H EUREKA project. The main goal of the project is to analyse, design and implement a new intelligent knowledge warehousing environment, allowing for advanced knowledge management and business intelligence, targeted towards specific financial application domain. We describe a general architecture and a prototype application for the concise storage and presentation of the information retrieved from a wide spectrum of information sources. The proposed solution deals with problems of retrieving information from primarily unstructured textual information sources of a knowledge intensive domain and provide means for context driven, multifaceted, up-to-date query and presentation of the required information.

Original languageEnglish
Title of host publicationProceedings of the International Conference on Information Technology Interfaces, ITI
PublisherUniversity of Zagreb
Pages113-118
Number of pages6
ISBN (Print)9539676967, 9789539676962
DOIs
Publication statusPublished - 2003
Event25th International Conference on Information Technology Interfaces, ITI 2003 - Cavtat, Croatia
Duration: Jun 16 2003Jun 19 2003

Other

Other25th International Conference on Information Technology Interfaces, ITI 2003
CountryCroatia
CityCavtat
Period6/16/036/19/03

Fingerprint

Knowledge based systems
Competitive intelligence
Knowledge management

Keywords

  • Business intelligence
  • Information retrieval
  • Infrormation integration
  • Knowledge fusion

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Strausz, G., Mészáros, T., & Dobrowiecki, T. (2003). A knowledge-based advisory system model. In Proceedings of the International Conference on Information Technology Interfaces, ITI (pp. 113-118). [1225331] University of Zagreb. https://doi.org/10.1109/ITI.2003.1225331

A knowledge-based advisory system model. / Strausz, György; Mészáros, Tamás; Dobrowiecki, T.

Proceedings of the International Conference on Information Technology Interfaces, ITI. University of Zagreb, 2003. p. 113-118 1225331.

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

Strausz, G, Mészáros, T & Dobrowiecki, T 2003, A knowledge-based advisory system model. in Proceedings of the International Conference on Information Technology Interfaces, ITI., 1225331, University of Zagreb, pp. 113-118, 25th International Conference on Information Technology Interfaces, ITI 2003, Cavtat, Croatia, 6/16/03. https://doi.org/10.1109/ITI.2003.1225331
Strausz G, Mészáros T, Dobrowiecki T. A knowledge-based advisory system model. In Proceedings of the International Conference on Information Technology Interfaces, ITI. University of Zagreb. 2003. p. 113-118. 1225331 https://doi.org/10.1109/ITI.2003.1225331
Strausz, György ; Mészáros, Tamás ; Dobrowiecki, T. / A knowledge-based advisory system model. Proceedings of the International Conference on Information Technology Interfaces, ITI. University of Zagreb, 2003. pp. 113-118
@inproceedings{2fa874066f18430e97b22bd62187c05c,
title = "A knowledge-based advisory system model",
abstract = "We present the goals and the first results of the IKF-H EUREKA project. The main goal of the project is to analyse, design and implement a new intelligent knowledge warehousing environment, allowing for advanced knowledge management and business intelligence, targeted towards specific financial application domain. We describe a general architecture and a prototype application for the concise storage and presentation of the information retrieved from a wide spectrum of information sources. The proposed solution deals with problems of retrieving information from primarily unstructured textual information sources of a knowledge intensive domain and provide means for context driven, multifaceted, up-to-date query and presentation of the required information.",
keywords = "Business intelligence, Information retrieval, Infrormation integration, Knowledge fusion",
author = "Gy{\"o}rgy Strausz and Tam{\'a}s M{\'e}sz{\'a}ros and T. Dobrowiecki",
year = "2003",
doi = "10.1109/ITI.2003.1225331",
language = "English",
isbn = "9539676967",
pages = "113--118",
booktitle = "Proceedings of the International Conference on Information Technology Interfaces, ITI",
publisher = "University of Zagreb",

}

TY - GEN

T1 - A knowledge-based advisory system model

AU - Strausz, György

AU - Mészáros, Tamás

AU - Dobrowiecki, T.

PY - 2003

Y1 - 2003

N2 - We present the goals and the first results of the IKF-H EUREKA project. The main goal of the project is to analyse, design and implement a new intelligent knowledge warehousing environment, allowing for advanced knowledge management and business intelligence, targeted towards specific financial application domain. We describe a general architecture and a prototype application for the concise storage and presentation of the information retrieved from a wide spectrum of information sources. The proposed solution deals with problems of retrieving information from primarily unstructured textual information sources of a knowledge intensive domain and provide means for context driven, multifaceted, up-to-date query and presentation of the required information.

AB - We present the goals and the first results of the IKF-H EUREKA project. The main goal of the project is to analyse, design and implement a new intelligent knowledge warehousing environment, allowing for advanced knowledge management and business intelligence, targeted towards specific financial application domain. We describe a general architecture and a prototype application for the concise storage and presentation of the information retrieved from a wide spectrum of information sources. The proposed solution deals with problems of retrieving information from primarily unstructured textual information sources of a knowledge intensive domain and provide means for context driven, multifaceted, up-to-date query and presentation of the required information.

KW - Business intelligence

KW - Information retrieval

KW - Infrormation integration

KW - Knowledge fusion

UR - http://www.scopus.com/inward/record.url?scp=84898885326&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84898885326&partnerID=8YFLogxK

U2 - 10.1109/ITI.2003.1225331

DO - 10.1109/ITI.2003.1225331

M3 - Conference contribution

AN - SCOPUS:84898885326

SN - 9539676967

SN - 9789539676962

SP - 113

EP - 118

BT - Proceedings of the International Conference on Information Technology Interfaces, ITI

PB - University of Zagreb

ER -