future directions for geolibraries
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Future Directions for Geolibraries. Michael F. Goodchild University of California Santa Barbara. Geolibrary. A library that is searchable by geographic location "What have you got about there ?" impossible in the physical library space is continuous and multidimensional - PowerPoint PPT PresentationTRANSCRIPT
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Future Directions for GeolibrariesFuture Directions for Geolibraries
Michael F. Goodchild
University of California
Santa Barbara
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GeolibraryGeolibrary
A library that is searchable by geographic location– "What have you got about there?"– impossible in the physical library
• space is continuous and multidimensional
– enabled in the digital world
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From the UCSB Map and Imagery Laboratory to the Alexandria Digital Library
From the UCSB Map and Imagery Laboratory to the Alexandria Digital Library
NSF funding 1994-2004 Universal access
– www.alexandria.ucsb.edu Searchable catalog
– a subset of FGDC– MARC compliant– approaching 3 million records
Downloadable objects Map, coordinate, and gazetteer interfaces
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1994-19991994-1999 Proliferation of warehouses, geospatial data
libraries, clearinghouses– user interfaces, catalogs
How to know where to look?– the knowledge of the SAP– by data type
• DOQs, DEMs, DLGs, DRGs– by regional emphasis– by thematic emphasis– the collection-level metadata problem
How to achieve interoperability?
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CLM of the Alexandria Digital Library
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http://www.thesalmons.org/lynn/wh-greenwich.html
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Geoportals: 2000-2005Geoportals: 2000-2005
A single point of access– Geography Network– Geospatial One-Stop
Offering both data and services "Live data"
– using OGC standards
Providers "publish" to the site Automated metadata harvesting
– from collaborating sites– GOS at 76,000 data sets in 1/05
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GOS coverage, 1/05
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There Will Always Be More Than One ShopThere Will Always Be More Than One Shop
Competition– between agencies, levels of government, public
and private sectors Segmentation
– not all providers of geospatial information are content to be part of a single whole
Disciplines– not all disciplines see the geospatial content of
data sets as their primary characteristic Jurisdictions
– GOS is national
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CLM revisitedCLM revisited
Regional partitions– a data set is most likely to be found on a
server located within the region Thematic partitions Data type and format partitions Level-of-government partitions
– a data set is most likely to be found on a server maintained by an agency whose footprint most closely matches that of the data set
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FunctionsFunctions
The library model– search and retrieval of information objects– legacy granularity– OGC standards support subset but not
superset– gatekeeper
Towards an information model– answers to queries– independent of the source– which is the world's highest capital city?
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Geolibraries as GISGeolibraries as GIS
Focus on queries rather than data acquisition
Fully functional servers Accurately georeferenced
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The future of geolibrariesThe future of geolibraries
Mixed models– libraries serving information objects– information sources responding to queries
The CLM problem– SAPs have an assured future
Multiple sources will not agree– conflation– "A person with one watch always knows
what time it is; a person with two is always uncertain"