QUEST--Query Environment for Science Teaching

QUery Environment for Science Teaching (QUEST) is a proposed digital library implementation consisting of a set of research projects dealing with data capture and organization, content analysis, information seeking and visual interfaces.The QUEST team includes a large number of renown technical collaborators and prominent source collaborators, as well as a significant number of contributors in the University of Maryland, the central, co-ordinating agency. A large collection of multidisciplinary materials in visual and textual formats, made accessible to us by our source collaborators, will be organized to allow integrated access by users from the science education community, that is elementary school through college level teachers. QUEST will be structured so as to provide seamless access to widespread resources on disparate subjects. We intend to provide first-rate subject analysis and representation in order to provide ready access. QUEST will be accessible nationally by means of Mosaic. We propose to provide highly sophisticated querying, browsing and information investigation facilities which will handle integrated textual and visual materials without difficulty. They will be augmented by online reference and referral services, immediately accessible by the user. QUEST will provide a comprehensive information resource for science education accessible through a dynamic, visual user interface.

[1]  Ben Shneiderman,et al.  Dynamic queries for visual information seeking , 1994, IEEE Software.

[2]  Azriel Rosenfeld,et al.  Recovery of temporal information from static images of handwriting , 1992, Proceedings 1992 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.

[3]  Christos Faloutsos,et al.  Optimal signature extraction and information loss , 1987, TODS.

[4]  Ben Shneiderman,et al.  Direct Manipulation: A Step Beyond Programming Languages , 1983, Computer.

[5]  Jamie McKenzie,et al.  Libraries of the Future , 1996 .

[6]  Christos Faloutsos,et al.  Access methods for text , 1985, CSUR.

[7]  Christos Faloutsos,et al.  Design Considerations for a Message File Server , 1984, IEEE Transactions on Software Engineering.

[8]  K. Wakimoto,et al.  Efficient and Effective Querying by Image Content , 1994 .

[9]  Christos Faloutsos,et al.  Fast Text Access Methods for Optical and Large Magnetic Disks: Designs and Performance Comparison , 1988, VLDB.

[10]  Judith P. Dick,et al.  A conceptual, case-relation representation of text for intelligent retrieval , 1991 .

[11]  Azriel Rosenfeld,et al.  Instrument grasp: a model and its effects on handwritten strokes , 1994, Pattern Recognit..

[12]  Gary Marchionini,et al.  Evaluating hypermedia and learning: methods and results from the Perseus Project , 1994, TOIS.

[13]  Gary Marchionini,et al.  Interfaces for End-User Information Seeking , 1992, J. Am. Soc. Inf. Sci..

[14]  Vannevar Bush,et al.  As we may think , 1945, INTR.