Advanced System for Acquisition and Knowledge Management in Cultural Heritage

International audienceIn this paper we present our research work on the system of acquisition and knowledge management in cultural heritage. This is a hybrid system because it uses several techniques, 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 signal processing is used for the oral description of the cultural heritage and for transcription from voice to text. The linguistic analysis is used for search and extraction of information. Modelling of knowledge is used for the creation of a partial ontology of domain according to a model predefines. 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