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Semantic Grid Primer

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Title: Semantic Grid Primer


1
Semantic Grid Primer
  • Who is it for?
  • What would we include?
  • Suggestions by Bruce, Geoffrey,Yuzhong Qu, and
    er, me.
  • How will we produce it?
  • Collaborative effort
  • What will it look like?
  • A GGF document or a set of different GGF
    documents
  • A semantic portal (lordy)
  • Who will help?
  • Dont be shy.?

2
Who is it for?
  • Grid people?
  • Semantic Web people?
  • Semantic Web Services Initiative are gagging for
    Grid Use cases.
  • Application holders?
  • Who will use it when we have finished it?
  • Other GGF working groups,
  • Industrialists?
  • Academics?
  • Visionaries and policy makers?
  • Long haired hackers with sandals?
  • PhD students (and their advisors) looking for a
    topic?

3
Semantic Grid Primer
  • Semantics 101
  • Ontology 101
  • Semantic Grid vision and roadmap
  • Practical Semantic Grid
  • Grid compliant knowledge services
  • Grid aware knowledge services
  • Knowledge aware Grid services
  • Semantic Science Applications
  • E.g. ontology for controlling data content
  • Examples, examples, examples. Of all of it.
  • Where do I find out more?

4
Semantics 101
  • What actually is an Ontology?
  • e.g. when is a bunch of RDF specifications not an
    Ontology? What am I doing if I use RDF to specify
    properties (using perhaps Annotation tools) and
    then interpret properties in a nifty python
    program
  • What are the languages for building ontologies
    and metadata?
  • How do they interrelate? RDF(S), OWL Lite, OWL
    DL, Topic Maps
  • Whats their relative strengths and weaknesses?
  • Can I migrate from one to the other or do I have
    to get the choice right first time?
  • Are they standards?
  • How much or how little do I need to build one?
  • How far can one go by just using "triple" in RDF
    and ignoring rest in RDF RDFS DAML OWL ...
  • What tools do I need and what tools exist?
  • What do other people use and why?
  • Which of the tools actually work in various
    areas annotation, access/storage/search etc?
  • Whats their licensing arrangements, reliability
    etc

5
Ontology 101
  • How do I get started?
  • Is there an ontology I can use already?
  • How do I build an ontology or adapt one I just
    found?
  • How do I know if an ontology is good or at
    least good enough.
  • Training opportunities and tutorials
  • Reference demonstrators

6
Semantic Grid vision
  • Semantic Grid vision
  • A Grid of knowledge? Knowledge used by Grid
    components?
  • What are the characteristics?
  • Examples of possible or existing Semantic Grid
    applications
  • Is the Semantic Grid sufficient for scientific
    users using Grid?
  • What are the issues and challenges in the context
    of Grid?
  • What are the possible research topics?
  • What isnt research because its doable now?
  • Who will use it? (who are the possible suppliers
    and consumers?)
  • Benefits and drawbacks (no such thing as a free
    lunch)

7
Semantic Grid in practice
  • How to make knowledge services Grid Compliant.
  • knowledge services converted to be Grid services
    with life time management, state management, and
    fulfil the standards for service level agreements
    of Grid service portTypes.
  • E.g. event notification compliance for annotation
    service and ontology service updates.
  • E.g. using the Access Grid in the development of
    distributed community-based ontologies

8
Semantic Grid in practice
  • Opportunities for Knowledge Services to become
    Grid Aware.
  • The adoption of Grid Base services by Semantic
    Services.
  • E.g. an ontology or annotation service uses a
    OGSA-DAI complaint database for storage
  • E.g. Grid replication protocols for version
    management and cache-coherency for distributed
    ontology services
  • E.g. Grid event notification frameworks for
    propagating updates amongst a distributed
    ontology environment
  • E.g. harnessing Condor-G flocks for high
    performance reasoning.

9
Semantic Grid in practice
  • Opportunities for Grid services to become
    Knowledge Aware or Knowledge assisted i.e.
    Semantic Grid Services
  • Base services
  • E.g. semantic based resource brokering by
    matchmaking using ontology inference engines
  • E.g. resource scheduling using agent-planning
    techniques
  • High level services
  • E.g. semantic grid registries and semantic based
    discovery of Grid services
  • E.g. semantic workflow resolution.

10
Emerging themes
  • Stratification of knowledge and metadata
  • Different layers of abstractions
  • Abstract workflows/Classes of services vs
    concrete workflows/bound service instances
  • Multiple and different views of knowledge
  • Data vs process
  • Context awareness
  • Different users
  • User use vs machine use
  • Semantic scientific workflows
  • Automation and manual intervention
  • Safe automation, safe repair
  • A range of ontologies
  • Services, algorithms
  • Common functions
  • Semantic search, semantic mediation, semantic
    brokering
  • Various architectures

11
Semantic Science Applications
  • An ontology for controlling database contents
  • Knowledge bases for my domain
  • Not strictly the Grid .?

12
How?
  • Collaborative effort
  • Partition up into sections
  • Section authors (5-6 sections)
  • Editors (two)
  • Readers
  • Get some effort from the Semantic Web community
  • Document management system
  • Access Grid and Teleconferences
  • F2F at GGF10 GGF11, and ISWC WWW

13
What form will it take
  • A GGF document or a set of GGF docs?
  • A Semantic Portal (eating your own dog food is
    unpleasant . Dont all volunteer at once ? )
  • A publication opportunity (yes, we know how to
    motivate people.) with a deadline
  • A tutorial at a big event, .e.g.
  • GGF Summer School 2004 ??? Which one? Both?
  • Output to other GGF working groups, e.g.
    applications. Sections of primer targeted to
    different groups

14
Who is going to make it a reality?
  • You are!
  • Roll up!

15
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16
Butler 03
17
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18
Dimensions
  • Knowledge networks
  • multiple sets of discipline expertise,
    information, and knowledge that can be aggregated
    to analyze a problem of scientific, business or
    societal interest
  • individuals and groups, workflows, data
    repositories, notes, and digital archives
  • Knowledge-generating services
  • identify patterns, suggest courses of action, and
    publish results that are of interest to various
    individuals and groups
  • Knowledge-aware, knowledge-based, or
    knowledge-assisted Grid services,
  • distributed computational components of the Grid
    that make use of knowledge
  • intelligent portals, recommender systems, problem
    solving environments, semantic-based service
    discovery or resource brokering, semantic data
    integration, and workflow composition planning.
  • Grid knowledge services
  • the services and technologies for (global)
    distributed knowledge management to be used by
    networks, Grid services, and Grid applications.
  • ontologies for defining and relating concepts in
    a domain, ontology languages for representing
    them, and ontology services for querying them or
    reasoning over them to infer new concepts.
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