Building an information and knowledge Fusion system

Tamás Mészáros, Zsolt Barczikay, Ferenc Bodon, T. Dobrowiecki, György Strausz

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

4 Citations (Scopus)

Abstract

In this paper authors present a system for information and knowledge fusion that provides an integrated management of information in a particular task domain. The proposed system uses structured (database and XML-based) and unstructured (information retrieval) data acquisition techniques, various knowledge representation schemes to integrate retrieved information, and customisable reports generated based on profiles supplied by the end user. This paper concentrates on modelling the problem domain, information and knowledge fusion methods, and technology fields used in the proposed system.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages82-91
Number of pages10
Volume2070
ISBN (Print)3540422196, 9783540422198
Publication statusPublished - 2001
Event14th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2001 - Budapest, Hungary
Duration: Jun 4 2001Jun 7 2001

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2070
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other14th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2001
CountryHungary
CityBudapest
Period6/4/016/7/01

Fingerprint

Fusion
Fusion reactions
Knowledge representation
Information retrieval
XML
Data acquisition
Knowledge Representation
Data Acquisition
Information Retrieval
Integrate
Knowledge
Modeling

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

Cite this

Mészáros, T., Barczikay, Z., Bodon, F., Dobrowiecki, T., & Strausz, G. (2001). Building an information and knowledge Fusion system. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2070, pp. 82-91). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2070). Springer Verlag.

Building an information and knowledge Fusion system. / Mészáros, Tamás; Barczikay, Zsolt; Bodon, Ferenc; Dobrowiecki, T.; Strausz, György.

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 2070 Springer Verlag, 2001. p. 82-91 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2070).

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

Mészáros, T, Barczikay, Z, Bodon, F, Dobrowiecki, T & Strausz, G 2001, Building an information and knowledge Fusion system. in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). vol. 2070, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 2070, Springer Verlag, pp. 82-91, 14th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2001, Budapest, Hungary, 6/4/01.
Mészáros T, Barczikay Z, Bodon F, Dobrowiecki T, Strausz G. Building an information and knowledge Fusion system. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 2070. Springer Verlag. 2001. p. 82-91. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
Mészáros, Tamás ; Barczikay, Zsolt ; Bodon, Ferenc ; Dobrowiecki, T. ; Strausz, György. / Building an information and knowledge Fusion system. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 2070 Springer Verlag, 2001. pp. 82-91 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
@inproceedings{2092248685974f36a50851fbb100bc79,
title = "Building an information and knowledge Fusion system",
abstract = "In this paper authors present a system for information and knowledge fusion that provides an integrated management of information in a particular task domain. The proposed system uses structured (database and XML-based) and unstructured (information retrieval) data acquisition techniques, various knowledge representation schemes to integrate retrieved information, and customisable reports generated based on profiles supplied by the end user. This paper concentrates on modelling the problem domain, information and knowledge fusion methods, and technology fields used in the proposed system.",
author = "Tam{\'a}s M{\'e}sz{\'a}ros and Zsolt Barczikay and Ferenc Bodon and T. Dobrowiecki and Gy{\"o}rgy Strausz",
year = "2001",
language = "English",
isbn = "3540422196",
volume = "2070",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "82--91",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",

}

TY - GEN

T1 - Building an information and knowledge Fusion system

AU - Mészáros, Tamás

AU - Barczikay, Zsolt

AU - Bodon, Ferenc

AU - Dobrowiecki, T.

AU - Strausz, György

PY - 2001

Y1 - 2001

N2 - In this paper authors present a system for information and knowledge fusion that provides an integrated management of information in a particular task domain. The proposed system uses structured (database and XML-based) and unstructured (information retrieval) data acquisition techniques, various knowledge representation schemes to integrate retrieved information, and customisable reports generated based on profiles supplied by the end user. This paper concentrates on modelling the problem domain, information and knowledge fusion methods, and technology fields used in the proposed system.

AB - In this paper authors present a system for information and knowledge fusion that provides an integrated management of information in a particular task domain. The proposed system uses structured (database and XML-based) and unstructured (information retrieval) data acquisition techniques, various knowledge representation schemes to integrate retrieved information, and customisable reports generated based on profiles supplied by the end user. This paper concentrates on modelling the problem domain, information and knowledge fusion methods, and technology fields used in the proposed system.

UR - http://www.scopus.com/inward/record.url?scp=84947584237&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84947584237&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:84947584237

SN - 3540422196

SN - 9783540422198

VL - 2070

T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

SP - 82

EP - 91

BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

PB - Springer Verlag

ER -