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Application of a symbolic-connectionist approach for the design of a highly interactive documentary database interrogation system with on-line learning capabilities

Authors:

Jean-Charles Lamirel,

Marion CrehangeAuthors Info & Claims

CIKM '94: Proceedings of the third international conference on Information and knowledge management

Pages 155 - 163

https://doi.org/10.1145/191246.191272

Published: 29 November 1994 Publication History

Abstract

The NOMAD system is a documentary database interrogration system based on a symbolico-connectionist approach.

NOMAD makes use of the synthesis capabilities and flexibility inherent in this type of approach to increase its processing power as compared as compared to existing systems while proposing new operating modes directly accessible to a large number of users:

•NOMAD manages multiple synthetic type views on its documentary contents in the form of neural topographies acting as case-memories as well as elaborated thematic browsing tools.

•NOMAD manages a session memory based on the neural model of the novelty detector with the following three functions: cumulative recording of user need, managing user contradictions and proposing new orientations.

•NOMAD also has extended learning capabilities, enabling it to improve its performance in the long term.

In the introduction of this article, we justify the modelling choices made for NOMAD. The system will then be described in detailed, stressing the new possibilities regarding help in query formulation and improvement in retrieval performance. The evaluation campaign and the numerous evolution perspectives provided by the model are described in the final section.

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Cited By

Lamirel J(2013)Combining Neural Clustering with Intelligent Labeling and Unsupervised Bayesian Reasoning in a Multiview Context for Efficient Diachronic AnalysisAdvances in Self-Organizing Maps10.1007/978-3-642-35230-0_25(245-254)Online publication date: 2013
https://doi.org/10.1007/978-3-642-35230-0_25
Lamirel JSafi GPriyankar NCuxac P(2010)Mining Research Topics Evolving Over Time Using a Diachronic Multi-source ApproachProceedings of the 2010 IEEE International Conference on Data Mining Workshops10.1109/ICDMW.2010.198(17-24)Online publication date: 13-Dec-2010
https://dl.acm.org/doi/10.1109/ICDMW.2010.198
Kassab RLamirel J(2006)A new approach to intelligent text filtering based on novelty detectionProceedings of the 17th Australasian Database Conference - Volume 4910.5555/1151736.1151752(149-156)Online publication date: 1-Jan-2006
https://dl.acm.org/doi/10.5555/1151736.1151752
Show More Cited By

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Application of a symbolic-connectionist approach for the design of a highly interactive documentary database interrogation system with on-line learning capabilities

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Published In

cover image ACM Conferences

CIKM '94: Proceedings of the third international conference on Information and knowledge management

November 1994

463 pages

ISBN:0897916743

DOI:10.1145/191246

Editors:
Nabil R. Adam
Rutgers Univ., New Brunswick, NJ
,
Bharat K. Bhargava
Purdue Univ., IN
,
Yelena Yesha
NIST/UMBC

Copyright © 1994 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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UMBC: U of MD Baltimore County
SIGIR: ACM Special Interest Group on Information Retrieval
NIST: National Institute of Standards & Technology

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 29 November 1994

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CIKM94: Conference on Information and Knowledge Management

November 29 - December 2, 1994

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Cited By

Lamirel J(2013)Combining Neural Clustering with Intelligent Labeling and Unsupervised Bayesian Reasoning in a Multiview Context for Efficient Diachronic AnalysisAdvances in Self-Organizing Maps10.1007/978-3-642-35230-0_25(245-254)Online publication date: 2013
https://doi.org/10.1007/978-3-642-35230-0_25
Lamirel JSafi GPriyankar NCuxac P(2010)Mining Research Topics Evolving Over Time Using a Diachronic Multi-source ApproachProceedings of the 2010 IEEE International Conference on Data Mining Workshops10.1109/ICDMW.2010.198(17-24)Online publication date: 13-Dec-2010
https://dl.acm.org/doi/10.1109/ICDMW.2010.198
Kassab RLamirel J(2006)A new approach to intelligent text filtering based on novelty detectionProceedings of the 17th Australasian Database Conference - Volume 4910.5555/1151736.1151752(149-156)Online publication date: 1-Jan-2006
https://dl.acm.org/doi/10.5555/1151736.1151752
Kassab RLamirel JHaddad H(2006)An innovative approach to intelligent information filteringProceedings of the 2006 ACM symposium on Applied computing10.1145/1141277.1141533(1089-1093)Online publication date: 23-Apr-2006
https://dl.acm.org/doi/10.1145/1141277.1141533
Toussaint YLamirel J(2001)Combining Symbolic and Numeric Techniques for DL Contents Classification and AnalysisEngineering of Intelligent Systems10.1007/3-540-45517-5_29(253-258)Online publication date: 18-Jun-2001
https://doi.org/10.1007/3-540-45517-5_29
Lamirel JDucloy JKammoun H(2000)A self organizing map (SOM) extended model for information discovery in a digital library contextProceedings of the First International Conference on Multimedia Data Mining10.5555/3012361.3012370(60-66)Online publication date: 20-Aug-2000
https://dl.acm.org/doi/10.5555/3012361.3012370
Lamirel JDucloy JOster G(2000)Adaptive browsing for information discovery in an iconographic contextContent-Based Multimedia Information Access - Volume 210.5555/2856151.2856212(1657-1675)Online publication date: 12-Apr-2000
https://dl.acm.org/doi/10.5555/2856151.2856212

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