Information Systems

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Information Systems Digital Libraries

• Reagan W. Moore
• San Diego Supercomputer Center
• moore_at_sdsc.edu
• http//www.npaci.edu/DICE

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Event-based Information Models

• Characterize learning process
• Events - information exchange
• Collaborative exchange between
• Teacher and students
• Students
• Event-based collaborative learning model
• Characterize information exchange process
• Events - exchange of information
• Collaboration environments
• Control of information flow between participants
• Event-based collaboration environment

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Context Based Events

• For information to be useful, the context must be
  defined
• Provenance - where the data came from
• Structure - format, units, geometry
• Relevance - feature annotation
• Semantics - data dictionary for attributes
• Collaboration - who has received the data
• Context is preserved as meta-data attributes
• Are there common XML attributes for information
  exchange events?

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Common Information Model

• eXtensible Markup Language (XML)
• Use tags to define semantic context for
  components of the data set
• Document Type Definition (DTD)
• Provides semi-structured representation for
  organizing tags that can be applied to groups of
  digital objects
• Development of standards for tags
• Event-based data
• California Digital Library - Art Museum Image
  Consortium
• Digital sky, Protein Data Bank, Neuroscience
  brain images

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Information Access
Applications
Digital Libraries
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Information Management Hierarchy

• Portals
• User interfaces
• Data Grid
• Access to data in a different administration
  domain
• Digital Library - Presentation / Information
  Discovery
• Interlib - ADEPT, UC Berkeley Digital Library
• Data Collection
• Extensible Meta-data catalog - EMCAT
• Data handling
• SDSC Storage Resource Broker - SRB
• Archival Storage
• High performance storage system - HPSS

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Information Access Example -Digital Insight
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Access to Data Collections

• Scientific Data Collections
• Creation of discipline specific data collections
• Publication of scientific data sets
• Information discovery mechanisms
• Education Data Collections
• Access to primary data
• Creation of video collections
• Publication of curricula
• Portals for access to information

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Hierarchy of Information Contexts

• Event context
• Meta-data to define the context of each
  information exchange event
• When assembling a curricula, must define how
  events are related
• Use collections to organize events into curricula
• Meta-data to define the structure of the
  collection
• When publishing a curricula, must also publish
  the information needed to organize the
  collection.
• Use presentation context to control access
• Meta-data to define structure of presentation

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Collaborations

• Education Portals
• Digital Insight - U Wisconsin
• Sociologist Workbench - SDSU
• Digital library
• Personal digital libraries - NSF DLI2 (UCB)
• Alexandria Digital Library Digital Earth - NSF
  DLI2 (UCSB)
• California Digital Library - UCOP
• Collections
• Art Museum Image Consortium - UCOP
• Scientific data collections - NPACI

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Grid Forum Data Access Architecture
API that provides glue to underlying data
handling systems (security, scheduling, QoS,
access protocol, data format/model, adaptivity,
info discovery, location control)
Application
authentication authorization
Data Model Management
Remote Procedure Execution
Armada Dagents, FEL, ADR GRAM, SRB, Java, CORBA
Data Handling Systems
Information Discovery
Condor, GASS, NILE, SRB, I-2 caching, ADR
LDAP, Database, Flat file, Object database
Storage System Description
Dynamic Info Discovery
API that provides glue to underlying storage,
QoS, etc. GASS, IBP, SRB
Storage Resources
DPSS, DFS, NFS HPSS, ADSM, DMF, Unitree,
NASstore, DB2, Oracle, Informix, Sybase, O2,
ObjectStore, Objectivity
GloPerf, Netlogger, NWS
DTD, ADR, object class
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Data Collections
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Further Information
http//www.npaci.edu/DICE