Amilcare is a tool for adaptive IE designed for KM purposes that requires no IE skills for porting to new applications. It is able to cope with different texts types without requiring major recoding of resources. It easily integrates with the usual manual document J annotation process. Initially it appears as one of the usual KM annotation tools. When its rules become reliable it automatically starts helping in the annotation process. At some point the user can decide either to leave Amilcare to continue the annotation process (unsupervised annotation) or to continue to manually annotate the documents letting Amilcare suggesting a draft annotation (supervised annotation). Either way the result is a more efficient and effective process. Amilcare uses cutting edge IE technology the (LP)~2 algorithm obtains excellent results in scientific experiments and was also used to build a number of real world applications. Concerning suitability for KM purposes: on the one hand Amilcare has been successfully integrated in the AKT2 architecture and is used to build experimental applications wthin the AKT project. On the other hand Amilcare's learning kernel has been integrated in two tools for Knowledge Management: Mnm (the Open University) and Ontatnat, (University of Karlsruhe).
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