Wims is an Information Analysis Center designed for Strategic Intelligence. Strategic Intelligence covers a large variety of domain such as Business Intelligence, Competitive Intelligence, Governmental Intelligence or Military Intelligence. Wims gathered specific tools designed to improve information monitoring and information analysis.
Wims includes automatic monitoring techniques on dynamic electronic sources, information retrieval techniques, automatic document classification, automatic document summarization, full-text search on multilingual content, automatic generation of reports, graphs and maps. It has no crosslingual support.
Wims relies on Unicode, XML, XSLT, PDF, SVG, xHTML and CSS standards. Wims is powered by Apache, PHP and mySQL.
VisualSyntax is here.
Wims Unicode Sandbox are here.
Wims Forum Analysis Tools are here.
The first online and interactive component is the Wims Syntactic Parser. This parser is built up at Lattice by E. Giguet since January 2002. It is based on original research from E. Giguet and N. Lucas. The parser relies solely on grammatical and stylistic clues. It is error proof and domain free.
The linguistic resources have been built up by E. Giguet, except Arab resources which have built up in collaboration with D. El-Kassas.
The online cartographic component is the result of a collaboration with G. Cousin about SVG. It allows the mapping of statistical information on scallable maps. This work started in may 2002 and is still in progress.
The Temporal Grapher is the result of a collaboration with G. Cousin about SVG. This component dynamically displays statistics about the amount of information on a temporal axis. This work started in june 2002 and is still in progress.
The Zipf Law profiler (released in April 2002) shows the frequencies of every words in a given corpus. The Affix profiler(released in June 2002) shows the more frequent prefix and suffix in a given corpus. These components will be integrated in a more general suite for language profiling. The Affix profiler is a customization of the morpheme discovery algorithm, proposed by H. Dejean.
The demo is restricted to education and research purposes.