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Intelligent patent analysis through the use of a neural network experiment of multi-viewpoint analysis with the MultiSOM model. Author : Jean-Charles Lamirel, Shadi Al Shehabi, Martial Hoffmann, Claire Francois Reporter : Tze Ho-Lin 2006/8/23. Association for Computational Linguistics, 2006. - PowerPoint PPT Presentation
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Intelligent patent analysis through the use of a neural network experiment of multi-viewpoint analysis with the MultiSOM modelAuthor : Jean-Charles Lamirel, Shadi Al Sheh
abi, Martial Hoffmann, Claire Francois
Reporter : Tze Ho-Lin
2006/8/23
Association for Computational Linguistics, 2006
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Outline Motivation Objectives Method Application Evaluation Conclusion Personal Comments
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Motivation
Most of the classical information analysis tools can only manage an analysis of the studied domain in a global way.
In the domain of patent analysis, assisting a user in carrying out the complex process of analyzing large quantities of such information.
V.S.
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Objectives
Demonstrates the efficiency of a viewpoint-oriented-analysis as compared to a global analysis in the domain of patents.
V.S.
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Method: Inter-Map Communication Mechanism
[2]data nodes associated to the activated class nodes
[3]Transmit to other maps to which these data are associated
(1)
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Method: Inter-Map Communication Mechanism
(2)
(3)
(4)
n : a node associated to a datajn : n associated cluster on the source mapg : Cluster->Data Data->Cluster|| i || : the number of data associated to the cluster i 0.5 0.1 0.3 0.3
Vector Space Model
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Application Patent Document
Step 1 parse the structure of the patent abstracts to extract the subfields corresponding to the Use and to the Advantages viewpoints.Step 2 the rough index set of each subfield is constructed by the use of a basic computer-based indexing tool. Step 3 the normalization of the rough index set associated to each viewpoint is performed by the domain expert in order to obtain the final index sets.
Final Index Sets
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Application
Table 1: Summary of the results of patent indexation and map building.
GlobMin
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Evaluation
Recall
Precision
F-measure
Table 2: Summary of the results of Quality, Recall and Precision evaluation
(8)
(7)(9)
(6)(5)
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Conclusion Objective evaluation
For the domain experts: the original multiple viewpoints classification approach of MultiSOM tends to reduce the noise.
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Personal Comments Applications
Theory, News …
Advantages Reduce the noise More tends to general analyst’s analysis way.
Disadvantage Writing: Formula description is too rough. Method: Doesn’t use large data set to experiment yet.