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...
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Format: | Article |
Language: | English |
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Universitatea Dunarea de Jos
2006-12-01
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Series: | Analele Universităţii "Dunărea de Jos" Galaţi: Fascicula III, Electrotehnică, Electronică, Automatică, Informatică |
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Online Access: | http://www.ann.ugal.ro/eeai/archives/2006/Lucrare-11-Vlase.pdf |
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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 |