The AMIDA Automatic Content Linking Device: Just-in-Time Document Retrieval in Meetings

Andrei Popescu-Belis, Erik Boertjes, Jonathan Kilgour, Peter Poller, Sandro Castronovo, Theresa Wilson, Alejandro Jaimes, Jean Carletta

In: Andrei Popescu-Belis , Rainer Stiefelhagen (Hrsg.). Machine Learning for Multimodal Interaction. Machine Learning and Multimodal Interaction (MLMI-08) 5th International Workshop September 8-10 Utrecht Netherlands Seiten 272-283 Lecture Notes in Computer Science (LNCS) 5237 ISBN 978-3-540-85852-2 Springer Heidelberg 2008.


The AMIDA Automatic Content Linking Device (ACLD) is a just-in-time document retrieval system for meeting environments. The ACLD listens to a meeting and displays information about the documents from the group’s history that are most relevant to what is being said. Participants can view an outline or the entire content of the documents, if they feel that these documents are potentially useful at that moment of the meeting. The ACLD proof-of-concept prototype places meeting-related documents and segments of previously recorded meetings in a repository and indexes them. During a meeting, the ACLD continually retrieves the documents that are most relevant to keywords found automatically using the current meeting speech. The current prototype simulates the real-time speech recognition that will be available in the near future. The software components required to achieve these functions communicate using the Hub, a client/server architecture for annotation exchange and storage in real-time. Results and feedback for the first ACLD prototype are outlined, together with plans for its future development within the AMIDA EU integrated project. Potential users of the ACLD supported the overall concept, and provided feedback to improve the user interface and to access documents beyond the group’s own history.

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Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence