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Semantic Scientific Informatics

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Joint work with Peter Fox and James Hendler. Tetherless World Constellation ... 20080602 Fox VSTO et al. 5. Quick look browse. WWW. Toolkit. Proof Markup ... – PowerPoint PPT presentation

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Title: Semantic Scientific Informatics


1
Semantically-Enabled Science Informatics With
Supporting Knowledge Provenance and Evolution
Infrastructure Highlights
Deborah L. McGuinness Tetherless World Senior
Constellation Chair and Professor of Computer
Science and Cognitive Science (previously Acting
Director of the Knowledge Systems Laboratory at
Stanford University) Joint work with Peter Fox
and James Hendler Tetherless World
Constellation Rensselaer Polytechnic Institute
2
Selected Examples and Foundations
  • Semantic Technologies used in eScience
    (currently funded)
  • Virtual Solar Terrestrial Observatory (vsto.org)
  • Semantic Provenance Capture for Data Ingest
    Systems (SPCDIS)
  • Semantically-Enabled Scientific Data Integration
    (SESDI)
  • A Community-Driven Scientific Observations
    Network to Achieve Interoperability of
    Environmental and Ecological Data
  • Semantic Foundations
  • Inference Web Environment for Explanation,
    Transparency, and Trust
  • PML Knowledge Provenance Interlingua (Proof
    Markup Language)
  • Ontology Environments Ontology Repositories,
    Ontology Editing, Semantic Wiki (Semantic
    History),
  • Scalable Web Science New Web Science Center
    part of Web Science Research Initiative,

3
Virtual Solar Terrestrial Observatory (vsto.org)
  • Interdisciplinary Virtual Observatory for
    searching, integrating, and analyzing
    observational, experimental, and model databases.
  • Subject matter solar, solar-terrestrial and
    space physics
  • Provides virtual access to specific data, model,
    tool and material archives containing items from
    a variety of space- and ground-based instruments
    and experiments, as well as individual and
    community modeling and software efforts bridging
    research and educational use
  • 3 year NSF project initial deployment in year
    1, multiple deployments by year 2 year 3
    outreach and broadening
  • While aimed at one interdisciplinary area, it
    also
  • serves as a replicable prototype for
  • interdisciplinary virtual observatories
  • Current NSF follow on for provenance
  • extension (Semantic Provenance Capture
  • in Data Ingest Systems)

4
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5
Quick look browse
5
20080602 Fox VSTO et al.
6
Inference Web Explanation Architecture
WWW
Toolkit
Trust computation
IWTrust
OWL-S/BPEL
SDS
Trace of web service discovery
Proof Markup Language (PML)
End-user friendly visualization
IW Explainer/ Abstractor

Learners
Learning Conclusions
Expert friendly Visualization
Trust
KIF/N3
JTP/CWM
IWBrowser
Theorem prover/Rules
search engine based publishing
Justification
SPARK-L
SPARK
IWSearch
Trace of task execution
Provenance
provenance registration
Text Analytics
IWBase
UIMA
Trace of information extraction
  • Semantic Web based infrastructure
  • PML is an explanation interlingua
  • Represent knowledge provenance (who, where,
    when)
  • Represent justifications and workflow traces
    across system boundaries
  • Inference Web provides a toolkit for data
    management and visualization

7
Global View and More
Views of Explanation
filtered
focused
global
abstraction
Explanation (in PML)
discourse
trust
provenance
  • Explanation as a graph
  • Customizable browser options
  • Proof style
  • Sentence format
  • Lens magnitude
  • Lens width
  • More information
  • Provenance metadata
  • Source PML
  • Proof statistics
  • Variable bindings
  • Link to tabulator

8
Provenance View
Views of Explanation
  • Source metadata name, description,
  • Source-Usage metadata which fragment of a source
    has been used when

filtered
focused
global
abstraction
Explanation (in PML)
discourse
trust
provenance
9
Conclusion and Links
  • Knowledge Provenance is growing in criticality as
    applications become more distributed, hybrid, and
    collaborative
  • Inference Web and PML provide an open
    infrastructure and starting point that is being
    used more in a wide set of applications.
    inference-web.org
  • Semantic eScience class link (with book to
    follow) http//tw.rpi.edu/wiki/Semantic_e-Science
  • Sample of implemented eScience applications using
    semantic technologies
  • Interdisciplinary Virtual Observatory (VSTO)
    vsto.org
  • Semantic Provenance (SPCDIS) tw.rpi.edu/wiki/SPC
    DIS
  • Volcano/Atmosphere/Plate tectonics (SESDI)
    sesdi.hao.ucar.edu/

10
Extra

11
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