Data mining for scientific publications

Searching scientific literature on the Web is a difficult task because of the large volume and the complex dynamics of the scientific literature and because of the complexity and narrow target of typical queries. The problem is compounded by differences among publication standards and formats used i...

Full description

Bibliographic Details
Main Authors: Mihai VLASE, Radu NEGULESCU
Format: Article
Language:English
Published: Universitatea Dunarea de Jos 2006-12-01
Series:Analele Universităţii "Dunărea de Jos" Galaţi: Fascicula III, Electrotehnică, Electronică, Automatică, Informatică
Subjects:
Online Access:http://www.ann.ugal.ro/eeai/archives/2006/Lucrare-11-Vlase.pdf
_version_ 1811245634682880000
author Mihai VLASE
Radu NEGULESCU
author_facet Mihai VLASE
Radu NEGULESCU
author_sort Mihai VLASE
collection DOAJ
description Searching scientific literature on the Web is a difficult task because of the large volume and the complex dynamics of the scientific literature and because of the complexity and narrow target of typical queries. The problem is compounded by differences among publication standards and formats used in various fields of knowledge. In this paper we review several specific solutions that apply or adapt data mining techniques to searching scientific publications.
first_indexed 2024-04-12T14:42:19Z
format Article
id doaj.art-2fc91508208e4fba8cd6953a71e4addd
institution Directory Open Access Journal
issn 1221-454X
language English
last_indexed 2024-04-12T14:42:19Z
publishDate 2006-12-01
publisher Universitatea Dunarea de Jos
record_format Article
series Analele Universităţii "Dunărea de Jos" Galaţi: Fascicula III, Electrotehnică, Electronică, Automatică, Informatică
spelling doaj.art-2fc91508208e4fba8cd6953a71e4addd2022-12-22T03:28:47ZengUniversitatea Dunarea de JosAnalele Universităţii "Dunărea de Jos" Galaţi: Fascicula III, Electrotehnică, Electronică, Automatică, Informatică1221-454X2006-12-01200616368Data mining for scientific publicationsMihai VLASERadu NEGULESCUSearching scientific literature on the Web is a difficult task because of the large volume and the complex dynamics of the scientific literature and because of the complexity and narrow target of typical queries. The problem is compounded by differences among publication standards and formats used in various fields of knowledge. In this paper we review several specific solutions that apply or adapt data mining techniques to searching scientific publications.http://www.ann.ugal.ro/eeai/archives/2006/Lucrare-11-Vlase.pdfSearch enginerelevancerankcitations
spellingShingle Mihai VLASE
Radu NEGULESCU
Data mining for scientific publications
Analele Universităţii "Dunărea de Jos" Galaţi: Fascicula III, Electrotehnică, Electronică, Automatică, Informatică
Search engine
relevance
rank
citations
title Data mining for scientific publications
title_full Data mining for scientific publications
title_fullStr Data mining for scientific publications
title_full_unstemmed Data mining for scientific publications
title_short Data mining for scientific publications
title_sort data mining for scientific publications
topic Search engine
relevance
rank
citations
url http://www.ann.ugal.ro/eeai/archives/2006/Lucrare-11-Vlase.pdf
work_keys_str_mv AT mihaivlase dataminingforscientificpublications
AT radunegulescu dataminingforscientificpublications