Bernard Dousset

DocCube: multi-dimensional visualisation and exploration of large document sets

This paper presents a novel user interface that provides global visualizations of large document sets in order to help users to formulate the query that corresponds to their information needs and to access the corresponding documents. An important element of the approach we introduce is the use of concept hierarchies (CHs) in order to structure the document collection. Each CH corresponds to a facet of the documents users can be interested in. Users browse these CHs in order to specify and refine their information needs. Additionally the interface is based on OLAP principles and multi-dimensional analysis operators are provided to users in order to allow them to explore a document collection.

Combining mining and visualization tools to discover the geographic structure of a domain

Abstract Science monitoring is a core issue in the new world of business and research. Companies and institutes need to monitor the activities of their competitors, get information on the market, changing technologies or government policies. This paper presents the Tetralogie platform that is aimed at allowing a user to interactively discover trends in scientific research and communities from large textual collections that include information about geographical location. Tetralogie consists of several agents that communicate with each other on users’ demands in order to deliver results to them. Metadata and document content are extracted before being mined. Results are displayed in the form of histograms, networks and geographical maps; these complementary types of presentations increase the possibilities of analysis compared to the use of these tools separately. We illustrate the overall process through a case study of scientific literature analysis and show how the different agents can be combined to discover the structure of a domain. The system correctly predicts the country contribution to a field in future years and allows exploration of the relationships between countries.

Information discovery from semi-structured sources - Application to astronomical literature

Textual information systems provide different kinds of information seeking that answer different user needs. Among them, knowledge discovery systems aim at providing global views and useful patterns from raw information. This paper presents a framework to discover knowledge from semi-structured documents and visualize it through graphical views. An application to astronomical literature is given.

Visualization and analysis of large graphs

In Knowledge engineering, synthesized information has often an evolving and relational form. Information representation using graphs may ease data interpretation for non-expert users. However this graph may be complex and simplifications are useful in order to ease analysis. In this article, we present VisuGraph, a powerful tool for graph drawing. This tool gives the possibility to reduce large graph by two techniques: the Markov CLustering algorithm (MCL) application and the global graph division in time-sliced visualizations in order to specify and to simplify temporal analysis.

Visualizing Large Graphs Out of Unstructured Data for Competitive Intelligence Purposes

In the information era, people’s lives are deeply impacted by IT via exposure to social media, emails, RSS feed, chats, web pages, etc. Such data is considered very valuable nowadays since it may help companies to better their strategies. For example, companies can analyse their customers’ trends or their competitors marketing interventions and adjust their strategies accordingly. Several decisional tools have been developed but most of them rely on relational databases. This makes it difficult for decision makers to take advantage of unstructured data which today represents more than 85% of the available data. Thus, there is a rising need for a suitable management process of unstructured data through collecting, managing, transferring and transforming it into a meaningful informed data. This paper will introduce a new tool for Big Unstructured Data for the Competitive Intelligence named Xplor EveryWhere (XEW). It will also describe the enhancement brought to its newest feature XEWGraph. This tool, or as described later on the paper, this “Service”, offers the decision makers the possibility to have a better user experience regarding large graph visualization on their web browsers as well as their mobile devices.

Interactive Analysis of Relational Information

In this paper we promote an interactive analysis of graphs, which represent networks of entities. While the initial graph uses the traditional force-directed placement methods, we consider three complementary tools that can help a user when trying to extract sub-structures or understand better the graph structure. These tools are to be used interactively by the user. We show that different structures can lead to different interpretation of the role of the nodes in the graph. We insist on the interactive character of the exploratory process.

Electra 800 Data Management Program

The Electra 800 automatic analyzer performs at high speed and with great precision almost all chronometric coagulation tests. However, the results have to be recopied by hand and if necessary converted using standard graphs if the machine does not have the Data Management option. We therefore developed a data management program for this analyzer, for use with a PC or AT (IBM®) compatible microcomputer.

On the possibility of discriminating between two models of the conformation of DNA

Abstract The electron microdiffraction of two very simple DNA models, consisting of 22 atoms arranged in (a) double-helix or (b) side-by-side conformation, are computer-simulated. We demonstrate that by using a very small quantity of matter (of the order of one pitch of the helix), and by inclining the axis of the chain relative to the incident beam, it should be possible to obtain patterns different enough to distinguish between the two structures.