Article ID: | iaor20128173 |
Volume: | 10 |
Issue: | 4 |
Start Page Number: | 312 |
End Page Number: | 325 |
Publication Date: | Dec 2012 |
Journal: | Knowledge Management Research & Practice |
Authors: | Chteau Stefan du, Boulanger Danielle, Mercier-Laurent Eunika |
Keywords: | artificial intelligence |
This article presents applied research work that addresses a real need for improvement of the collection, indexing and retrieval of knowledge of cultural heritage. To facilitate the task of fieldwork and to improve the access to knowledge, we designed, prototyped and tested in a real environment a system for automating the cycle of collecting and storing information and knowledge for future processing. It contains several modules, allowing the knowledge acquisition cycle to be completed: registering artwork description using a voice interface, automatic ‘translation’ of the audio files to text files, linguistic analysis and extraction of information for the Inventory Descriptive System and, finally, automatic construction of a domain ontology according to a predefined conceptual model. This hybrid system combines the techniques of signal and natural language processing and of knowledge modelling. After introducing the process of the acquisition and management of information gathered in the field, we describe the nature of knowledge, the models used, the architecture and the various treatments performed by our system. Finally, we provide some perspectives on future development.