No abstract

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.

Science monitoring is a core issue in the new world of business and research.Companies and institutes need to monitor the activities of its competitors, get information on the market, technologies, or government actions. This paper presents the Tétralogie platform that aims at allowing a user to interactively discover trends in scientific research and communities from large textual collections that provide geographical location. Tétralogie consists of several agents that communicate on users' demand in order to deliver results to them. Meta-data and document content are extracted before being mined. Results are displayed under 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 predicts correctly the country contribution in future years and delivers the relationships between countries.