McGuinness – Microsoft eScience – December 8, 2008 1 Semantically-Enabled Science Informatics:...

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McGuinness – Microsoft eScience – December 8, 2008 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
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Transcript of McGuinness – Microsoft eScience – December 8, 2008 1 Semantically-Enabled Science Informatics:...

McGuinness – Microsoft eScience – December 8, 2008 1

Semantically-Enabled Science Informatics: With Supporting

Knowledge Provenance and Evolution Infrastructure Highlights

Deborah L. McGuinnessTetherless 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 HendlerTetherless World Constellation

Rensselaer Polytechnic Institute

McGuinness – Microsoft eScience – December 8, 2008 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, …

McGuinness – Microsoft eScience – December 8, 2008 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)

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Partial exposure of Instrument class hierarchy

Semantic filtering by domain or instrument hierarchy

McGuinness – Microsoft eScience – December 8, 2008 520080602 Fox VSTO et al.

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Quick look browse

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WWW Toolkit

Proof Markup Language (PML)Learners

JTP/CWM

SPARK

UIMA

IW Explainer/Abstractor

IWBase

IWBrowser

IWSearch

Trust

Justification

Provenance

*

KIF/N3

SPARK-L

Text Analytics

IWTrust

provenanceregistration

search enginebased publishing

Expert friendlyVisualization

End-user friendly visualization

Trust computationOWL-S/BPELSDS

Trace of web service discovery

Learning Conclusions

Trace of task execution

Trace of information extraction

Theorem prover/Rules

Inference Web Explanation Architecture

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

McGuinness – Microsoft eScience – December 8, 2008 7

Global View and More

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 …

Views of Explanation

Explanation (in PML)

filtered focused global

abstraction

discourse

provenancetrust

McGuinness – Microsoft eScience – December 8, 2008 8

Provenance View Source metadata: name, description, … Source-Usage metadata: which fragment of

a source has been used when

Views of Explanation

Explanation (in PML)

filtered focused global

abstraction

discourse

provenancetrust

McGuinness – Microsoft eScience – December 8, 2008 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/SPCDIS Volcano/Atmosphere/Plate tectonics (SESDI):

sesdi.hao.ucar.edu/

McGuinness – Microsoft eScience – December 8, 2008 1

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Extra

McGuinness NSF/NCAR May 6, 200811