GEON Cyberinfrastructure Workshop Beijing, China, July 21-23, 2006 Workflow-Driven Ontologies for...

GEON Cyberinfrastructure WorkshopBeijing, China, July 21-23, 2006

Workflow-Driven Ontologies for the Geosciences

Leonardo Salayandía

The University of Texas at El Paso

Overview

• Background– Cyberinfrastructure– Ontologies– Workflows

• Purpose of this talk• The Workflow-Driven Ontology approach

– Knowledge capture– Workflow creation from WDOs– Benefits of WDOs

• Status• Summary

CyberinfrastructureS-wave tomography models

GPS plate motion vectors

Global Strain Rate Map

GEON IDV(Integrated Data Viewer)

[http://geon.unavco.org]

CyberinfrastructureS-wave tomography models

GPS plate motion vectors

Global Strain Rate Map

GEON IDV

Distributed sources of informationInformation in different formats

Distributed tools and applications

Cyberinfrastructure

• People and resources connected through the web

• Enhanced collaboration over distance, time, and disciplines– Interoperate across institutions and disciplines– Preserve and maintain availability of software

and data

Cyberinfrastructure

• People and resources connected through the web

• Enhanced collaboration over distance, time, and disciplines– Interoperate across institutions and disciplines– Preserve and maintain availability of software

and data

Ontologies

• A specification of a conceptualization

• Concepts (or classes of objects)– Concept1: S-wave tomography model (TM)– Concept2: Geospatial representation

• Relationships between concepts– S-wave TM HAS Geospatial Representation

Workflows

• Recipes for accomplishing some complex task• Composition of service modules (CI services)• Automate tedious and time-consuming tasks • Useful for experiment replication• Example:

Workflows

• Recipes for accomplishing some complex task• Composition of service modules (CI services)• Automate tedious and time-consuming tasks • Useful for experiment recreation• Example:

S-wave tomography data

Create ModelS-wave

tomography model

Service to get the data

Service to transform data

Transformed data outcome

Cyberinfrastructure

[B. Ludäescher, 2006]

Cyberinfrastructure

[B. Ludäescher, 2006]

Workflows

Ontologies

Purpose of talk

• Show an approach for scientists to capture knowledge in a way that can be leveraged towards CI– Create ontology specifications– Generate workflows from ontologies

Purpose of talk

• Show an approach for scientists to capture knowledge in a way that can be leveraged towards CI– Create ontology specifications– Generate workflows from ontologies

Workflow-Driven Ontologies(WDOs)

Example: Gravity WDO

Geoscientist

I use geophysical data to elucidate the tectonic

development of the North American craton

I want to produce a gravity data contour map. These are the

steps that I go through to do it:

Contour Map

Gravity Data

Get the data

Create a grid of uniformly

distributed points from this

Use the grid as input to render

the map

Dr. Randy Keller

Capture Knowledge

Contour Map

Gravity Data

Different types of Information

Capture Knowledge

Contour Map

Gravity Data

Information

Raw Data

Processed Data

Product

How is the information transformed?

Is converted to

Is rendered into

Capture Knowledge

Contour Map

Gravity Data

Information

Raw Data

Processed Data

Product

Contouring Algorithm

Gridding Algorithm

Methods

Is input into

Outputs

Is converted to

Is rendered into

Class Hierarchy for WDOsRoot

Information Methods

Data Product

Raw Data Processed Data

Gravity Data Grid Contour Map

Gridding

Contouring

Common classes for all WDOs

Classes specific to the Gravity WDO

Workflow specification generated from Gravity WDO

Information Methods

Data Product

Raw Data Processed Data

Gravity Data Grid

Gridding

Is input into

Outputs

CI Service1:Gravity Data

Extraction

CI Service2:Gridding

Result

Mapping between WDO classes and CI services

From workflow specification to workflow implementation

• Workflow engines:– Kepler scientific workflows (GEON et al.)– OWL-S (Semantic Web)– Many others…

• Workflow specifications produced from WDOs can potentially be “realized” in any service-oriented workflow engine

Benefits of WDOs

• Scientific products drive the creation of the WDO– Incremental development

• WDO serves as roadmap for future CI service development– Identify missing services for potentially useful

workflows

• Generated workflows serve as a gauge for the usefulness of an ontology

Status

• Gravity WDO prototype– Workflows in the process of being

implemented in the Kepler Scientific Workflow Engine

• WDO Assistant and API software

The Gravity WDO• First WDO prototype (Flor Salcedo, Randy Keller,

and Ann Gates)

Status

• Gravity WDO prototype– Workflows in the process of being

implemented in the Kepler Scientific Workflow Engine

• WDO Assistant and API software

WDO Assistant and API

• Prototype built on top of the Jena API – Java programming language

• Three modes of operation– Brainstorming– Elicitation– Workflow Generation

• Brainstorming mode– Scientists define concepts that relate to CI

information and methods

• Elicitation mode– Scientists define relationships between

concepts

• Workflow Generation mode– Scientists choose information concept for

which to generate a workflow, as well as target workflow engine

Future Work

• CI-Miner– Provenance information– Trust information– Preferences

OWL onts.

GenericCI Portal

CompositeOWL-SService

AtomicOWL-S Service

A Service

Answer/provenancevisualization

CI-Trust

CI Miner

TrustNet

CI-Base(IWBase)

Serviceexecution

OWL-SAPI

CI-Browser

ontologiescalls

Legend

creates

TrustRecommendation

CI-Browser

WDO API

CI BackgroundTools

WDOAssistant

Knowledgecapture

Protégé, SWOOP

Summary

• In order to realize the goals of CI there is a need to– Capture domain knowledge– Use the domain knowledge to “glue” resources

together

• The WDO approach– Allows scientists (not computer programmers) to

incrementally capture knowledge as needed– Facilitates communication between scientists and

computer programmers to produce CI resources that “stick” to other resources

Thank you

GEON Cyberinfrastructure Workshop Beijing, China, July 21-23, 2006 Workflow-Driven Ontologies for...

Documents

Transcript of GEON Cyberinfrastructure Workshop Beijing, China, July 21-23, 2006 Workflow-Driven Ontologies for...

Introduction to GEON and iGEON

NSF Geosciences Program and Budget - Unidata · – Partnership with Office of Cyberinfrastructure. – Supports research, development, and tools to advance NSF’s goal of data-

Enabling Discoveries in the Earth Sciences Through the Geosciences Network (GEON)

R.E.S. Watson- An Example 4-Geon

ASU GEON NODE

GEON Workshop, Auckland, Nov 26-27, 2007 Introduction to GEON and iGEON Chaitan Baru.

CYBERINFRASTRUCTURE FOR THE GEOSCIENCES1 Towards a Generic Framework for Semantic Data Registration and Integration in Geosciences Kai.

CYBERINFRASTRUCTURE FOR THE GEOSCIENCES High Performance Computing applications in GEON: From Design to Production Dogan Seber.

CYBERINFRASTRUCTURE FOR THE GEOSCIENCES GEON Systems Report Karan Bhatia San Diego Supercomputer Center Friday Aug 13 2004.

CYBERINFRASTRUCTURE FOR THE GEOSCIENCES GEON 2007 Workshop at the University of Auckland, New Zealand, November 26-28, 2007 GEON Architecture:

CYBERINFRASTRUCTURE FOR THE GEOSCIENCES Implementing a web service for spatial data – Spatial Fusion M.L. Crawford, D. Mirante – Bryn Mawr College Metamorphic.

GEON-UTEP-09-03 GEON-Knowledge Representation WG Update GEON-KR list (currently) Bertram Ludaescher (SDSC: ludaesch@sdsc.edu) Bertram Ludaescher (SDSC:

Www.geongrid.org CYBERINFRASTRUCTURE FOR THE GEOSCIENCES Image processing, LiDAR and high resolution 2D interpolation and 3D visualization for data integration.

1 CYBERINFRASTRUCTURE FOR THE GEOSCIENCES IGEON 2007 at the University of Hyderabad, India, August 02-08 2007 Web Services – The Motivation.

NSF Meeting on Cyberinfrastructure for Surficial Processes, Jan.18-19, 2006 Slide 1 GEON: The Geosciences Network Chaitan Baru San Diego Supercomputer.

celebrating - Geon Property

GEON: Geosciences Network

Cyberinfrastructure and EarthScope Science goals: A GEON perspective What is Cyberinfrastructure? What is GEON? How will GEON research facilitate discovery.

DLESE and NSDL: Digital Library Components of Cyberinfrastructure International Workshop of Cyberinfrastructure for Geosciences IWCG2006 - Beijing, China.

CYBERINFRASTRUCTURE FOR THE GEOSCIENCES Active tectonics, Digital Elevation Model analysis, and remote sensing in GEON PI Meeting update.