Discovering new information in bibliographic databases

ABSTRACT Databases contain information that can usually not be revealed by standard query systems. For that purpose, the methods for knowledge discovery from databases can be applied, which enable the user to browse aggregated data, discover trends, produce online reports, explore possible new asso...

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Main Author: Emil Hudomalj
Format: Article
Language:English
Published: Slovenian Library Association & University of Ljubljana Press (Založba Univerze v Ljubljani) 2005-10-01
Series:Knjižnica
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Online Access:https://journals.uni-lj.si/knjiznica/article/view/14119
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author Emil Hudomalj
author_facet Emil Hudomalj
author_sort Emil Hudomalj
collection DOAJ
description ABSTRACT Databases contain information that can usually not be revealed by standard query systems. For that purpose, the methods for knowledge discovery from databases can be applied, which enable the user to browse aggregated data, discover trends, produce online reports, explore possible new associations within the data etc. Such methods are successfully employed in various fields, such as banking, insurance and telecommunications, while they are seldom used in libraries. The article reviews the development of query systems for bibliographic databases, including some early attempts to apply modern knowledge discovery methods. Analytical databases are described in more detail, since they usually serve as the basis for knowledge discovery. Data mining approaches are presented, since they are a central step in the knowledge discovery process. The key role of librarians who can play a key part in developing systems for finding new information in existing bibliographic databases is stressed.
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language English
publishDate 2005-10-01
publisher Slovenian Library Association & University of Ljubljana Press (Založba Univerze v Ljubljani)
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spelling doaj-art-6dd281832cf242228df2b8a007a778312025-08-20T01:58:19ZengSlovenian Library Association & University of Ljubljana Press (Založba Univerze v Ljubljani)Knjižnica0023-24241581-79032005-10-0149410.55741/knj.49.4.14119Discovering new information in bibliographic databasesEmil Hudomalj0Dr. Emil Hudomalj je zaposlen na Inštitutu za biomedicinsko informatiko, Medicinska fakulteta, Univerza v Ljubljani. Naslov: Vrazov trg 2, 1104 Ljubljana Naslov elektronske pošte: emil.hudomalj@mf.uni-lj.siABSTRACT Databases contain information that can usually not be revealed by standard query systems. For that purpose, the methods for knowledge discovery from databases can be applied, which enable the user to browse aggregated data, discover trends, produce online reports, explore possible new associations within the data etc. Such methods are successfully employed in various fields, such as banking, insurance and telecommunications, while they are seldom used in libraries. The article reviews the development of query systems for bibliographic databases, including some early attempts to apply modern knowledge discovery methods. Analytical databases are described in more detail, since they usually serve as the basis for knowledge discovery. Data mining approaches are presented, since they are a central step in the knowledge discovery process. The key role of librarians who can play a key part in developing systems for finding new information in existing bibliographic databases is stressed.https://journals.uni-lj.si/knjiznica/article/view/14119bibliographic databasesanalytical databasesdata warehousesdata mining
spellingShingle Emil Hudomalj
Discovering new information in bibliographic databases
Knjižnica
bibliographic databases
analytical databases
data warehouses
data mining
title Discovering new information in bibliographic databases
title_full Discovering new information in bibliographic databases
title_fullStr Discovering new information in bibliographic databases
title_full_unstemmed Discovering new information in bibliographic databases
title_short Discovering new information in bibliographic databases
title_sort discovering new information in bibliographic databases
topic bibliographic databases
analytical databases
data warehouses
data mining
url https://journals.uni-lj.si/knjiznica/article/view/14119
work_keys_str_mv AT emilhudomalj discoveringnewinformationinbibliographicdatabases