530 likes | 616 Views
Digital Libraries: Background and Overview NAWeb 2003 Jeremy Rowe Arizona State University Partnership for Research In Spatial Modeling.
E N D
Digital Libraries:Background and OverviewNAWeb 2003Jeremy RoweArizona State University Partnership for Research In Spatial Modeling
Library - A collection of literary, musical, artistic, or reference material(eg books, manuscripts, recordings, or films)that are kept for use but not sale
Initial Focus: Library Digitization -Cataloging -Connectivity -Search -Access to Digital Resources
Initial Developments -Online Public Access Catalogs (OPAC) -Electronic Text -Digitized Photographs -Multi-Media – Audio and Video
Automating Traditional Libraries -Computerized Catalogs -Inter-Library Connectivity -Z 39.50 Standard
Initial Project Targets -Shared library catalogs -Text -Low resolution digital graphics, images, and photographs
http://www.columbia.edu/cu/lweb/projects/digital/apis/search/http://www.columbia.edu/cu/lweb/projects/digital/apis/search/
http://www.getty.edu/research/tools/special_collections.html
Types of Projects -Text OCR Born Digital -Graphic representations Manuscripts Music -Images Graphics (Images, maps, etc.) Photographs -Motion Media Video/streams Animations (Flash, QT VR, etc.) -Interactive Simulations
Collateral Factors -Development of the Web -Data Sharing (i.e.Gopher, FTP, et al) -Visual Browsers (http, Mosaic, Netscape, et al) -On-line Access -Compression -Computing Power -Collaborative Research -E-Commerce
Types of Digital Library Projects-Access to Traditional Library Collections -Interpretive Exhibits/Educational Uses -Shared Scientific Data -Modeling, Visualization and Analysis -Automated Cataloging-Interface Design/Human Interaction
http://scop.mrc-lmb.cam.ac.uk/scop/parse/dir.cla.scop.txt_1.59http://scop.mrc-lmb.cam.ac.uk/scop/parse/dir.cla.scop.txt_1.59
PRISM Bone Surfaces and Forensics • Digital collections to analyze shape, structure, morphology, improve measurement accuracy, permit objective comparison of objects, and to identify unique individuals. http://3dk.asu.edu
Standards Initiatives-Cataloging/Description -Metadata/XML -Data Definitions/Formats -Data Interchange -Search -Interface/Display
http://www.perseus.tufts.edu/cgi-bin/patlas?doc=Perseus%3Atext%3A1999.03.0003&redraw.x=1&redraw.y=1http://www.perseus.tufts.edu/cgi-bin/patlas?doc=Perseus%3Atext%3A1999.03.0003&redraw.x=1&redraw.y=1
http://elib.cs.berkeley.edu/kobus/famsf/model_2/text_and_blobs/bbox.htmlhttp://elib.cs.berkeley.edu/kobus/famsf/model_2/text_and_blobs/bbox.html
Interested Parties -Libraries – IMLS -Science/Engineering - NSF, NIH -Defense - DOD, Homeland Security -Arts – NEA, Foundations -Humanities – NEH, Foundations -Education – FIPSE, LAAP -Digital Government - NSF -Business and E-Commerce
Project Examples-Auto-Classification -Auto-Summarization of Video and Digital Video Libraries -Digital Recognition of Music, Cuneiform and Hieroglyphics, Manuscripts, and Complex Graphic Letterforms -Distributed Search (Z39.50, SQL, XML) -Distributed Research Collections -Information Agents/AI Search Support
Project Examples (ctd)-Digital Music – Scores, Audio -Digital Document “Restoration” /Image Processing -Manuscript OCR/Word Segmentation -Modeling and Visualization -Image Recognition -Spoken Language Processing -Archiving/Provenance -Data Quality -Identity Management/Access Control -Science, Math, Engineering and Technology Education
Current IssuesSocial, Institutional, And Policy Issues Pedagogical Issues Intellectual Property User Communities Metadata And Content Web Cataloging Digital Archives And Museums Digital Preservation Digital Library Infrastructure Digital Library Architecture Knowledge Management Content Management Human-Computer Interaction Information Retrieval Information Mining Ontology-Based Services Semi-Structured Data Management Semantic Web Web Information Gathering Text Categorization Large Scale Data Management Electronic Publishing Information Filtering/Extraction Hypertext And Multimedia Authentication/Authorization Security And PrivacyImage Understanding Intelligent Analysis