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The ADEPT Middleware Effort

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infrastructure for information creation, organization, management & publishing ... servers; inter-server cooperation. central collection discovery service ... – PowerPoint PPT presentation

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Title: The ADEPT Middleware Effort


1
The ADEPT Middleware Effort
  • Greg Janée

2
ADEPTs middleware effort
  • Broad goals
  • distributed digital library for georeferenced
    information
  • DL interoperability
  • ADEPT-specific goals
  • interface to library
  • infrastructure for information creation,
    organization, management publishing

3
Recent activities
  • Distributed, peer-to-peer architecture
  • multiple, local servers inter-server
    cooperation
  • central collection discovery service
  • Bucket metadata framework
  • representation utilization of metadata mappings
  • Personal collections
  • lightweight utterly heterogeneous totally
    automated
  • create, import, categorize, manage items
  • Miscellaneous new features
  • collection groups, load balancing, ...
  • Packaged documented

4
Middleware architecture
client
uniform client services item-level metadata
mapped to search buckets (high-level, typed
fields with rich search semantics) uniform
collection- level metadata includes coverage
histograms plugins support common
collection implementations
collection discovery service
middleware
RDBMS
Z39.50
proxy
collection
collection
personal
item
item
item
5
The interoperability landscape
ADEPT
6
Interaction with NSDL
metadata repository
harvest
OAI
portal
2. harvest interpret
3. h i
metadata
ADEPT
1. map
ADEPT collection discovery
ADEPT client
ADEPT
per collection provider
7
Next steps
  • In 6 months or less
  • Complete middleware collection discovery
    service
  • Stop development
  • diminishing returns
  • extreme generality of limited use to ADEPT
  • Then
  • Focus on bringing GIS functionality into the
    library
  • necessary for effective use
  • ADL has almost none corollary ADL is unusable
  • interfaces, tie-ins, lite tools, indexing
    techniques
  • More information
  • http//www.alexandria.ucsb.edu/gjanee/middleware/

8
Gazetteer protocol
  • Streamlined for specific to gazetteers
  • Supports 5 fundamental queries
  • name, footprint, class, relationship, identifier
  • Lightweight
  • 80/20 rule used throughout
  • accommodates differing implementations
  • simple services that can be combined into
    higher-level services
  • Buzz-compliant HTTP, XML, schemas, SOAP, GML
  • More information
  • http//www.alexandria.ucsb.edu/gjanee/gazetteer/
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