information mining

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 Tétralogie 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. Tétralogie 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 Visualization;  knowledge discovery;  information mining;  data analysis;  Domain knowledge;  Geographical maps;  

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Abstract: Bernardi, Ratsch, Kania. Saric and Rojas discuss interdisciplinary work as the key to functional genomics. Park discusses network biology (data mining of biological networks). Schatz discusses the construction of analysis environments beyond the genome and the Web. Blaschke and Valencia discuss how molecular biology nomenclature is thwarting information extraction progress. Finally, Ne/spl acute/dellec discusses bibliographic information extraction in genomics

 Data mining;  biology computing;  genetics;  scientific information systems;  World Wide Web;  analysis environment construction;  bibliographic information extraction;  biological networks;  functional genomics;  genomes;  information extraction progress;  information mining;  interdisciplinary work;  molecular biology nomenclature;  network biology;