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Information Fusion:: A New Direction In Biodiversity Informatics - Couverture souple

Wei, Qin

 
9783846558164: Information Fusion:: A New Direction In Biodiversity Informatics
Couverture souple
ISBN 10 : 3846558168 ISBN 13 : 9783846558164
Editeur : LAP LAMBERT Academic Publishing, 2011

Synopsis

Providing a single access point to an information system from multiple sources is helpful in many fields. As a case study, this research investigates the potential of applying information fusion techniques in biodiversity area since researchers in this domain desperately need information from different sources to support decision making on tasks like biological identification. Furthermore, there are massive collections in this area and the descriptive materials on the same species (object) are scattered in different places. It is not easy to manually collect information to form a broader and integrated one. This study demonstrates that to a certain extent, this fusion approach is generalizable. The generalizability of this fusion approach is a challenging problem due to the typical domain- and task- oriented nature of the fusion methods. We identified the challenges while applying the approach to different data set.

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Présentation de l'éditeur

Providing a single access point to an information system from multiple sources is helpful in many fields. As a case study, this research investigates the potential of applying information fusion techniques in biodiversity area since researchers in this domain desperately need information from different sources to support decision making on tasks like biological identification. Furthermore, there are massive collections in this area and the descriptive materials on the same species (object) are scattered in different places. It is not easy to manually collect information to form a broader and integrated one. This study demonstrates that to a certain extent, this fusion approach is generalizable. The generalizability of this fusion approach is a challenging problem due to the typical domain- and task- oriented nature of the fusion methods. We identified the challenges while applying the approach to different data set.

Biographie de l'auteur

The author got her Ph.D from Graduate School of Library and Information Science (GSLIS) in University of Illinois at Urbana-Champaign (UIUC) in 2011. Her research interests include information fusion, information retrieval, text mining and information extraction.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2011
Langue
anglais
ISBN 10 
3846558168
ISBN 13 
9783846558164
Reliure
Broché
Nombre de pages
212
Coordonnées du fabricant
non disponible
Personne responsable
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