1102 Web Information Systems Modeling A Platform for Managing Term Dictionaries for Utilizing Distributed Interview Archives

Abstract. This paper proposes a platform that aims to support the whole process and facilitate archiving tasks at museums and galleries. When we try to preserve tacit knowledge or skills of artists or masters by interview and utilize interview videos, it is important to support the whole process of archiving; capturing interview, digitizing it to a machine readable format, authorizing metadata, and exporting them to be accessed from others. To interoperate distributed archives, rich meta information is required. In this paper, we focus our tools to facilitate authoring metadata of interview, such as transcription and annotation task for interview, with speech processing or natural language processing functions. The important point now is that the performance of the speech processing or text processing for specific domain depends on well-fitted language models to it. We, therefore, design our tools as an networked software package that can download up-to-date term dictionary and language models for speech processing or text processing from a server of the platform. Users can utilize tools with updated models. Meanwhile, created metadata including terms occurred in interview can be uploaded to the server and they will be used for update of the models hereafter. In this paper, we first overview our project. Then, we propose an platform and our tools to be distributed.