Publication statistics

Pub. period:1998-2009
Pub. count:8
Number of co-authors:15



Co-authors

Number of publications with 3 favourite co-authors:

Gilles Hubert:2
Ludovic Tanguy:1
Dsir Kompaor:1

 

 

Productive colleagues

Josiane Mothe's 3 most productive colleagues in number of publications:

Mohand Boughanem:14
Javier Pereira:6
Chantal Soul-Dupu..:4
 
 
 

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Josiane Mothe

 

Publications by Josiane Mothe (bibliography)

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2009
 
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Boughanem, Mohand, Berrut, Catherine, Mothe, Josiane and Soul-Dupuy, Chantal (eds.) Advances in Information Retrieval - 31th European Conference on IR Research - ECIR 2009 April 6-9, 2009, 2009, Toulouse, France.

2007
 
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Hubert, Gilles and Mothe, Josiane (2007): Relevance Feedback as an Indicator to Select the Best Search Engine - Evaluation on TREC Data. In: Cardoso, Jorge, Cordeiro, Jos and Filipe, Joaquim (eds.) ICEIS 2007 - Proceedings of the Ninth International Conference on Enterprise Information Systems Volume EIS June 12-16, 2007, Funchal, Portugal. pp. 184-189.

 
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Kompaor, Dsir, Mothe, Josiane and Tanguy, Ludovic (2007): Combining Indexing Methods and Query Sizes in Information Retrieval in French. In: Cordeiro, Jos and Filipe, Joaquim (eds.) ICEIS 2008 - Proceedings of the Tenth International Conference on Enterprise Information Systems Volume AIDSS June 12-16, 2007, Barcelona, Spain. pp. 149-154.

2006
 
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Englmeier, Kurt, Pereira, Javier and Mothe, Josiane (2006): Choreography of web services based on natural language storybooks. In: Fox, Mark S. and Spencer, Bruce (eds.) Proceedings of the 8th International Conference on Electronic Commerce - ICEC 2006 2006, Fredericton, New Brunswick, Canada. pp. 132-138. Available online

2005
 
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Hernandez, Nathalie, Mothe, Josiane and Poulain, Sandra (2005): Customizing information access according to domain and task knowledge: the ontoExplo system. In: Proceedings of the 28th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval 2005. pp. 607-608. Available online

In this paper we present a system that allows a user to explore or mine a document collection. This system is based on domain and task knowledge modelled in the form of ontologies and allows direct access both to information as it is stored and to information that is built from it. The system has been developed in Java.

© All rights reserved Hernandez et al. and/or ACM Press

2003
 
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Mothe, Josiane, Chrisment, Claude, Dousset, Bernard and Alau, Joel (2003): DocCube: Multi-dimensional visualisation and exploration of large document sets. In JASIST - Journal of the American Society for Information Science and Technology, 54 (7) pp. 650-659. Available online

2002
 
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Benammar, Anis, Hubert, Gilles and Mothe, Josiane (2002): Automatic Profile Reformulation Using a Local Document Analysis. In: Crestani, Fabio, Girolami, Mark and Rijsbergen, C. J. Van (eds.) Advances in Information Retrieval - 24th BCS-IRSG European Colloquium on IR Research March 25-27, 2002, Glasgow, UK. pp. 124-134. Available online

1998
 
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Mothe, Josiane and Dkaki, Taoufiq (1998): Interactive Multidimensional Document Visualization. In: Proceedings of the 21st Annual International ACM SIGIR Conference on Research and Development in Information Retrieval 1998. pp. 363-364. Available online

Complementary approaches can be used to improve information retrieval efficiency. One of these approaches consists in focusing on the system inner processes used (e.g. document indexing, query-document similarity computing,...). An other approach consists in improving the user-system interaction. That requires powerful interface design. In this poster we propose an interactive multidimensional document visualization. The selected documents (selected by either a search or a filtering process) are studied according to several of their features. Those features are either extracted using an indexing type process (the result is a set of phrases) or using information extraction mechanisms (to extract for example the author names, publication dates,...). Those elements are crossed in order to discover the strong links that exist between them. Discovered relationships are then displayed on a 4-dimensional graphical view. This interface allows the user to graphically select the elements he is most interested in and to automatically construct new filters that will change interactively the set of the displayed documents.

© All rights reserved Mothe and Dkaki and/or ACM Press

 
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