NSDL National Science Education Digital Library

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NSDL - National Science Education Digital Library

• Core Integration Infrastructure Team
• UCAR management
• Cornell repository
• Columbia authentication
• U Mass. search
• UCSB geo-referenced data
• UCSD persistent archive

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NSDL Partnership

• NSF Department of Undergraduate Education
• Funding 64 projects related to NSDL
• Curricula modules
• Primary source material - collections
• Digital library management
• User interfaces, portals
• Curriculum creation
• Core repository and services

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Critical Path

• Authentication
• Authorization
• Information retrieval
• Metadata retrieval
• Services / tools application
• Success is demonstration across multiple
  collections

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Interoperability Areas

• Open Archives Initiative - OAI
• Metadata harvesting based on Dublin Core and
  other metadata sets
• Can publish metadata standard, set structure for
  organization
• Should use MCAT template language to create OAI
  XML tagged structure
• Models, frameworks for packaging
• Componentized digital library infrastructure
• Low level decomposition
• Levels, best practices for
• Data level
• Multimedia level
• Resource level
• Update mechanisms for ingestion of new data
• User profile driven navigation, display,
  semantics
• Curricula integration from multiple sites
• Inclusion of digital libraries from other
  communities

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Metadata

• IMS - Instructional Management Systems
• IMS global learning description
• Specification for profile
• LTSC - IEEE learning technology standards
  committee
• DC-ED -Dublin Core education working group
• ADL (SCORM) - advanced description learning
  environment
• MARC - machine readable cataloging
• FGDC - federal geospatial data committee
• MOA II / EAD

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User Interfaces
NSDL
Usage Enhancement
Delivery Presentation Aggregation - Channels
Information about collections
Core NSDL Bus
Meta-data delivery Data delivery Query Global
Ids Security Network
Metadata data access-based services
Virtual Collections Mediators
Collection Building
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Building the Initial Repository

• Access to material from collaborating projects
• Harvesting material from the web using OAI
• First go on-line on May 1, 2002
• Go into production in December, 2002

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Challenges

• Persistence
• Can an educator retrieve a curriculum module used
  in a prior year
• Knowledge management
• Can relevant material be identified by grade
  level concepts

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Persistence

• SDSC is developing a Persistent Archive of
  material referenced by the NSDL repository
• Partial collection, depending upon access
  restrictions
• Stores data in a SRB collection
• Supports replication of material
• Will be used to support knowledge mining
• Generation of concept spaces that describe
  relationships between curriculum modules

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Challenges

• A curriculum is an instance of a concept space
• Identifies the concepts and the relationships
  between the concepts that will be presented in
  the class
• Multiple concept spaces are needed
• AAAS2061 - grade level concepts
• State mandated grade level concepts
• NSDL repository attributes
• Discipline specific concept spaces
• Pedagogy standards

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Synergy

• A uniform architecture is emerging across
• persistent archives (NARA)
• digital libraries (NSF, NLM)
• data grid environments (DOE, NASA, NSF)
• Use of web services as access mechanism for
  discovery, presentation

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Architecture

• Organization mechanism for the
• differentiation between knowledge, information,
  and data and the choice of representation
  standards
• Data - digital objects
• Information - tagged attributes
• Knowledge - relationships between attributes
• Integration vehicle for tying together
• persistent archives with grid environments
• grid environments with digital libraries
• digital libraries with persistent archives

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Knowledge-based Data Management
Ingest
Manage
Access
Knowledge Repository for Rules
Rules - KQL
(Topic Maps / Model-based Access)
Information Repository
EMCAT /MIX
(Data Handling System - Storage Resource Broker)

Storage (Replicas, Persistent IDs)
GRIDS
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Knowledge-based Access (1/9)

• The relationships between knowledge and
  information layers define
• Rules that can be applied to the collection
• Rules for defining collection attributes
• Rules for organizing attributes into a schema
• Rules for feature extraction
• Relationships that quantify associations
• Organization of concepts into topic maps
• Ontology mapping between concept maps
• Mapping of concepts to collection attributes
• Etc.

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Knowledge Standards (2/9)usingTOPIC MAPS
ISO/IEC 13250 (Jan. 2000)Bridging knowledge
representation information management

• STANDARD FOR
• describing knowledge structures
• associating them with information resources
• solution for organizing and navigating large and
  large information pools
• XTM SPECIFICATION

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TOPIC MAPS (3/9)

• Paradigm for K. navigation synthesis
• Concept of creating style sheets for K.- based
  information access and navigation
• TMs define semantically customized views

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The TAO of Topic Maps (4/9)(from XML Europe 2000
papers)NEXT 4 SLIDES
T is for Topic
Topics
Topic types
Topic names
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The TAO of Topic Maps (cont.) (5/9)
A is for Association
Topic associations
Association types
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The TAO of Topic Maps (cont.) (6/9)
O is for Occurrence
Occurrences
Occurrence Roles
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The TAO of Topic Maps (cont.) (7/9)
? Independence of topic associations topic
occurrences (information resources)
Topic maps as portable semantic networks
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Model-Based Archival Collection Management (8/9)
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ERA Concept model
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Grid-based Data Management
Ingest
Manage
Access
Knowledge Repository for Rules
Rules - KQL
(Topic Maps / Model-based Access)
Information Repository
EMCAT /MIX
(Data Handling System - Storage Resource Broker)

Storage (Replicas, Persistent IDs)
GRIDS
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Library-based Data Management
Ingest
Manage
Access
Knowledge Repository for Rules
Rules - KQL
(Topic Maps / Model-based Access)
Information Repository
EMCAT /MIX
(Data Handling System - Storage Resource Broker)

Storage (Replicas, Persistent IDs)
GRIDS
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Persistent Archive Data Management
Ingest
Manage
Access
Knowledge Repository for Rules
Rules - KQL
(Topic Maps / Model-based Access)
Information Repository
EMCAT /MIX
(Data Handling System - Storage Resource Broker)

Storage (Replicas, Persistent IDs)
GRIDS