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This paper presents our hybrid system for cultural heritage management. It combines the techniques of signal and natural language processing and knowledge modelling to effectively help a researcher in cultural patrimony in collecting, recording and finding the relevant knowledge. The voice interface serves to describe the artefacts in a given historical place. This audio file is than “translated” into a text file and validated by an expert in the area. The next step is an automatic concept extraction and building specific ontologies for the future processing. After introducing the problem of on field information collecting and managing, we describe the specific work of a researcher in the field of cultural heritage and main difficulties. Furthermore we explain our choice of the architecture of this hybrid system, our experiments and the results. Finally we give some perspective on extending this system to the other domains.

COMPUTER AIDED SYSTEM FOR MANAGING DOMAIN KNOWLEDGE - Application to Cultural Patrimony