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Fischinger M, Turk Z, Cerovsek T

EASY: A Hypermedia learning tool

Abstract: The Web not only distributes classically organized teaching material such as overheads, lecture notes and books, but also encourages new ways of publication and provides the means for content which could not have been printed on paper. In the article we present a tool for teaching earthquake engineering - an Earthquake Engineering Slide Information System (EASY). It uses information technology to present expert knowledge that has been accumulated over the decades by observing structures, damaged by earthquakes. Based on slides taken after major earthquakes such as Northridge, Mexico City and Kobe, a pictorial database of some 500 most descriptive images has been created and carefully annotated with keywords and textual description. By browsing the database and by following hypertext links, the user learns basic pitfalls of earthquake engineering and gains the feeling for the behavior of structures. The system is available both on the Web and on CD-ROM. We describe the system, as well as the design and development process and tools.

Keywords: earthquake engineering, education, multimedia

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Full text: http://www.itcon.org/1998/1 (available to registered users only)

Series: itcon:1998 (browse)
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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.


Shipra Singh Ahluwalia and Tarek Hegazy

Pictorial Database For Building Diagnosis

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Full text: content.pdf (855,814 bytes) (available to registered users only)

Series: w78:2006 (browse)
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