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Paper w78-2002-51:
AZILE: an intelligent verbal interface for the retrieval of pictorial architectural information

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Koutamanis A

AZILE: an intelligent verbal interface for the retrieval of pictorial architectural information

Abstract: The proliferation of on-line image databases and the utility of these images have triggered the development of content-based techniques for indexing and retrieval. Most techniques are characterized by a verbal interpretation of visual patterns for query formulation. The paper describes the integration of such verbal terms for architectural pictorial information in AZILE, a natural language interface that operates through a dialogue with the user. In this dialogue the user expresses queries as normal everyday utterances. These are parsed and matched to a thesaurus of architectural terms and concepts. The meaning and associations of these terms result into a preliminary fuzzy classification of available pictorial information. The purpose of AZILE is three-fold. Firstly, it serves as an incremental refinement of the query. Secondly, it facilitates direct retrieval of suitable information in a browsing fashion. Thirdly, it supports machine learning by automatically indexing of the images with the terms identified in the user's utterances.

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Full text: content.pdf (187,384 bytes) (available to registered users only)

Series: w78:2002 (browse)
Cluster: papers of the same cluster (result of machine made clusters)
Class: class.retrieve (0.057849) class.man-software (0.027811) class.deployment (0.019690)
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Permission to reproduce these documents have been graciously provided by the Aarhus School of Architecture, Denmark. The assistnace of the editor, Prof. Kristian Agger, is gratefully aprecciated.

 

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