Finding Context Specific Information for e-Community: How can Digital Journals Consume Information Efficiently from the Web, Semantic Web and other Digital Libraries - Couverture souple

Afzal, Muhammad Tanvir

 
9783639265712: Finding Context Specific Information for e-Community: How can Digital Journals Consume Information Efficiently from the Web, Semantic Web and other Digital Libraries
Couverture souple
ISBN 10 : 3639265718 ISBN 13 : 9783639265712
Editeur : VDM Verlag Dr. Müller, 2010

Synopsis

In digital environments such as electronic journals, finding context specific and task related information is a big challenge, simply due to the availability of the huge amounts of data. There are some of techniques to provide the intended information to users of digital communities (e-communities). However, all available techniques have some inherent problems. Thus, users are often frustrated. This book presents new techniques for discovering highly relevant resources. The discovered resources are supplied to users based on the users' local context. For a digital journal, the framework contributes in the following four areas: (i) Finding most related papers from multiple sources, (ii) Discovering and visualizing the relationships between experts, (iii) Linking digital journals with digital libraries maintained by some community leading to serendipitous discoveries of other relevant resources, and (iv) Harvesting pertinent resources from Linked Data. The findings of this research have been implemented for a digital journal which is known as Journal of Universal Computer Science step by step since 2007, and are now either in productive or prototype use.

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Présentation de l'éditeur

In digital environments such as electronic journals, finding context specific and task related information is a big challenge, simply due to the availability of the huge amounts of data. There are some of techniques to provide the intended information to users of digital communities (e-communities). However, all available techniques have some inherent problems. Thus, users are often frustrated. This book presents new techniques for discovering highly relevant resources. The discovered resources are supplied to users based on the users' local context. For a digital journal, the framework contributes in the following four areas: (i) Finding most related papers from multiple sources, (ii) Discovering and visualizing the relationships between experts, (iii) Linking digital journals with digital libraries maintained by some community leading to serendipitous discoveries of other relevant resources, and (iv) Harvesting pertinent resources from Linked Data. The findings of this research have been implemented for a digital journal which is known as Journal of Universal Computer Science step by step since 2007, and are now either in productive or prototype use.

Biographie de l'auteur

Muhammad Tanvir Afzal studied CS at Graz University of Technology, Austria and was awarded Ph.D. with distinction in 2010. He received his master's degree in CS from Quaid-i-Azam University, Islamabad, Pakistan and secured Gold Medal in 2004. His research areas include Digital Libraries, personalized services, Semantic Web,and sentiment Analysis.

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

Éditeur
VDM Verlag Dr. Müller
Date d'édition
2010
Langue
anglais
ISBN 10 
3639265718
ISBN 13 
9783639265712
Reliure
Broché
Nombre de pages
180
Coordonnées du fabricant
non disponible
Personne responsable
non disponible