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Clustering and Mapping Web Sites. For Displaying Implicit Associations and Visualizing Networks.
TLDR
This paper describes the implementation of an association analysis method to process Web site data. Expand
Using artificial neural networks for mapping of scienceand technology: A multi-self-organizing-maps approach
TLDR
We propose the Kohonen self-organizing map (SOM) for clustering and mappingaccording to a multi-maps extension. Expand
STANALYST: An integrated environment for clustering and mapping analysis on science and technology
TLDR
Presentation of STANALYST which is used as Intranet form at INIST in the domain of scientific and technical information in order to: search a data corpus from a given database; accomplish the descriptive statistical analysis of data; apply terminological recognition and extraction (in French and English) from titles and abstracts; detect in data their organizaton by themes using hierarchical and non hierarchical clustering procedures. Expand
Clusters, Graphs, and Networks for Analysing Internet-Web-Supported Communication within a Virtual Community
TLDR
The proposal is to use clusters, graphs and networks as models in order to analyse the Web structure. Expand
Thematic mapping on bibliographic databases by cluster analysis: a description of the SDOC environment with SOLIS
TLDR
The paper presents a coword-analysis-based system called SDOC which is able to support the intellectual work of an end-user who is searching for information in a bibliographic database. Expand
Instantiation of Relations for Semantic Annotation
TLDR
This paper presents a methodology for the semantic annotation of Web pages with individuals of a domain ontology. Expand
Artificial neural network technology for the classification and cartography of scientific and technical information
TLDR
This paper describes the implementation of multivariate data analysis: NEURODOC applies the axial k-means method for automatic, non-hierarchical cluster analysis and a Principal Component Analysis (PCA) for representing the clusters on a map. Expand
In vitro evaluation of a program for machine-aided indexing
TLDR
We first present the ILIAD program and the two systems submitted to this evaluation, the methodology (protocol) adopted, the differences between the protocol and the implementation, and the results of these evaluations. Expand
Using a compound approach based on elaborated neural network for Webometrics: An example issued from the EICSTES project
TLDR
This paper present a compound approach for Webometrics based on an extension the self-organizing multimap MultiSOM model based on a Bayesian network-oriented approach. Expand
Using artificial neural networks for mapping of science and technology: Application to patents analysis
TLDR
The article deals with a particular neural network mapping innovation, which is called MultiSOM. Expand
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