24. The system according to claim 1 , comprising special slots for implementing user-specific expert knowledge, wherein the meaning of a new linguistically provided information is first reconstructed, is then compared with the content of the existing knowledge base, and finally a relevance evaluation is derived by an intelligence module on basis of the expert knowledge in accordance with user-specific criteria.
1. A system for automatically recognizing and further processing meaning of a linguistically provided information, comprising: a processor executing routines providing: an extractor which extracts a concept and a concept category from a knowledge base for each word contained in said linguistically provided information, each extracted concept corresponding to isolated meaning of one of the words; and a connector which connects the extracted concepts to obtain a reconstructed meaning of said linguistically provided information; wherein: an artificial language intelligence coordinates an information exchange between the connector and the knowledge base, which contains a pool of cognitive routines; the connector first transmits a request code to the artificial language intelligence, the request code containing at least information regarding the connector and the extracted concept categories to be processed; the artificial language intelligence subsequently processes the request code, thereby selecting a cognitive connection routine from the pool of cognitive routines, said cognitive connection routine determined by the combination of information contained in the request code, extracts information from the knowledge base in consideration of the extracted concept categories to be processed, and transmits the cognitive connection routine and the information extracted from the knowledge base to the connector; and the connector connects the extracted concepts in consideration of said cognitive connection routine and said information extracted from the knowledge base, following which a meaningfully reconstructed meaning of said linguistically provided information is conveyed to a conflict module, the conflict module compares the reconstructed meaning of said information with a current situation context contained in a situation module, which is part of the knowledge base, by using an appropriate comparison routine, by the following process: the conflict module first transmits a request code to the artificial language intelligence, the request code containing at least information regarding the conflict module, the extracted concept categories to be processed and the situation module; the artificial language intelligence subsequently processes the request code, thereby selecting a cognitive comparison routine from the pool of cognitive routines, said cognitive comparison routine determined by the combination of information contained in the request code, extracts information from the situation module in consideration of the extracted concept categories to be processed; transmits the cognitive comparison routine and the information extracted from the situation module to the conflict module; and the conflict module compares the reconstructed meaning of said linguistically provided information with said information extracted from the situation module in consideration of said cognitive comparison routine.