There is an increasing need for methods of rapidly entering analog data into geographic information systems. Traditional methods of hand digitizing or hand tracing followed by scanning are costly and time consuming. We have developed a rapid, easy to use method for digitizing color thematic maps that makes use of standard image processing techniques. The method uses a digital camera followed by...

This document aims at introducing a method for studying thematic profile variations of Internet surfer. These profiles are characterised by the extraction from a proxy cache of web pages consulted by each user. A semantic analysis of the content of these pages allows us to generate a vector that represents users’ mains interests. This way of processing is close to the Salton representation meth...

Hyperspectral imagery (HSI) integrates many continuous and narrow bands that cover different regions of the electromagnetic spectrum. However, the main challenge is the high dimensionality of HSI data due to the ’Hughes’ phenomenon. Thus, dimensionality reduction is necessary before applying classification algorithms to obtain accurate thematic maps. We focus the study on the following feature-...

This paper presents a framework for indexing and browsing databases of stories, in particular characterizing and visually exploring each narrative’s thematic content. We introduce a method for discovering thematic content in texts via lexical dissimilarity statistics. A maximumlikelihood algorithm clusters words into pools of similar meaning, using a thesaurus for rough estimates of word sense ...

There is considerable agreement among linguists that thematic analysis offers writers insights into manuscripts that may be rejected by international journals due to thematic organization problems. Whereas many comparative studies have provided valuable information about thematic progression (TP), the role of peripheral themes (PTs) has almost been neglected. Using the revised model of the TP p...

Visualization of features of a series of measurements with one-dimensional cellular structure This paper describes the method of visualization of periodic constituents and instability areas in series of measurements, being based on the algorithm of smoothing out and concept of one-dimensional cellular automata. A method can be used at the analysis of temporal series, related to the volumes of t...

In this paper, I present a method for learning thematic role relations (selectional preferences) for wordnets by means of statistical corpus analysis. An evaluation on a gold standard, which I extracted from EuroWordNet, shows that this method achieves a learning accuracy of up to 77%. I also propose a preprocessing step for a partial lexical disambiguation of the input data. This disambiguatio...