+ All Categories
Home > Documents > Semantically-Assisted Geospatial Workflow Design Gobe Hobona, David Fairbairn, Philip James...

Semantically-Assisted Geospatial Workflow Design Gobe Hobona, David Fairbairn, Philip James...

Date post: 28-Mar-2015
Category:
Upload: brooke-kent
View: 213 times
Download: 1 times
Share this document with a friend
Popular Tags:
19
Semantically-Assisted Geospatial Workflow Design Gobe Hobona, David Fairbairn, Philip James [email protected] ACM GIS – 8 th November 2007 - Seattle
Transcript
Page 1: Semantically-Assisted Geospatial Workflow Design Gobe Hobona, David Fairbairn, Philip James g.e.hobona@newcastle.ac.uk ACM GIS – 8 th November 2007 - Seattle.

Semantically-Assisted Geospatial Workflow Design

Gobe Hobona, David Fairbairn, Philip James

[email protected]

ACM GIS – 8th November 2007 - Seattle

Page 2: Semantically-Assisted Geospatial Workflow Design Gobe Hobona, David Fairbairn, Philip James g.e.hobona@newcastle.ac.uk ACM GIS – 8 th November 2007 - Seattle.

Overview

• Background

• OGC Web Services

• Workflow Enactment

• A Role for Semantics

• Prototype Implementation

• Conclusions

Page 3: Semantically-Assisted Geospatial Workflow Design Gobe Hobona, David Fairbairn, Philip James g.e.hobona@newcastle.ac.uk ACM GIS – 8 th November 2007 - Seattle.

Background

• Open Geospatial Consortium (OGC)

• JISC Grid/OGC Collision Programme• Security : SEE-GEO

• Workflow : SAW-GEO

• OGC Interoperability Experiments (OWS-4 and beyond)

• Challenge: How to support the user in the construction of workflows to address a variety of problems?

Page 4: Semantically-Assisted Geospatial Workflow Design Gobe Hobona, David Fairbairn, Philip James g.e.hobona@newcastle.ac.uk ACM GIS – 8 th November 2007 - Seattle.

OGC Web Services

• Web Map Services (WMS)• Generates geovisualisations/maps from any geo-data source

• Web Feature Services (WFS)• Disseminates vector geospatial data

• Web Coverage Services (WCS)• Disseminates raster geospatial data

• Web Processing Services (WPS)• Runs geocomputational models or geospatial operations on

user-supplied datasets

Page 5: Semantically-Assisted Geospatial Workflow Design Gobe Hobona, David Fairbairn, Philip James g.e.hobona@newcastle.ac.uk ACM GIS – 8 th November 2007 - Seattle.

Workflow Enactment

• Recognised by ISO19119

• Several options for workflow enactment• SCUFL, BPEL, Keppler etc

• Selected BPEL because• OASIS Standard, i.e. WS-BPEL 2.0

• Multi-vendor support including IBM, Sun Microsystems, ActiveEndpoints, Oracle etc

• Availability of open source enactors

Page 6: Semantically-Assisted Geospatial Workflow Design Gobe Hobona, David Fairbairn, Philip James g.e.hobona@newcastle.ac.uk ACM GIS – 8 th November 2007 - Seattle.

An Example Geospatial Workflow

Based on OGC OWS-4 GeoProcessing Workflow Scenario

client

WorkflowEnactor

WPS 1Generalise

WPS 2Clip

WFS

Page 7: Semantically-Assisted Geospatial Workflow Design Gobe Hobona, David Fairbairn, Philip James g.e.hobona@newcastle.ac.uk ACM GIS – 8 th November 2007 - Seattle.

Possible Applications for Geo-Workflows

• Emergency Management• Where each activity depends on the result of a previous activity

• Geographic modelling• Where several steps are needed before a final model is produced e.g.

ESRI Model Builder

• Climate Change scenarios• Where a number of possible routes for workflows are possible

depending on the state of certain variables

Page 8: Semantically-Assisted Geospatial Workflow Design Gobe Hobona, David Fairbairn, Philip James g.e.hobona@newcastle.ac.uk ACM GIS – 8 th November 2007 - Seattle.

A Role for Semantics in Orchestration

SOA

Problem Domain

Concept 1

Concept 2

Concept 3

Concept 4

Services ResourcesWorkflowenactor

Concept1

Concept3

Concept5

EXACT SUBSUMPTION

Page 9: Semantically-Assisted Geospatial Workflow Design Gobe Hobona, David Fairbairn, Philip James g.e.hobona@newcastle.ac.uk ACM GIS – 8 th November 2007 - Seattle.

Calculating Workflow Similarity (1)

Thing

A

BC

DE

I

JK

LM

A path through several other concepts

X A concept

Key:

A path linking two concepts. The concept on the ‘arrow-head’ subsumes the other

Page 10: Semantically-Assisted Geospatial Workflow Design Gobe Hobona, David Fairbairn, Philip James g.e.hobona@newcastle.ac.uk ACM GIS – 8 th November 2007 - Seattle.

Calculating Workflow Similarity (2)

Highsimilarity(request)

Lowsimilarity

Input A A A A A I

Activity B B B B J J

Activity C C C K K K

Activity D D L L L L

Output E M M M M M

Page 11: Semantically-Assisted Geospatial Workflow Design Gobe Hobona, David Fairbairn, Philip James g.e.hobona@newcastle.ac.uk ACM GIS – 8 th November 2007 - Seattle.

Proposed Formula

•α is an application-specific weight applied to each activity in the workflow•n is the number of activities in the requested workflow•Pk is the number of edges between the concept representing the kth activity in the workflow and the concept tagging a candidate service

Page 12: Semantically-Assisted Geospatial Workflow Design Gobe Hobona, David Fairbairn, Philip James g.e.hobona@newcastle.ac.uk ACM GIS – 8 th November 2007 - Seattle.

A Geospatially aware Ontology

• Earth and environmental problem domains present problems of space

• Requiring a geo-aware ontology

• SWEET*

•Earth Realm•Physical Process•Physical Property•Non-Living Substances•Living•Data

•Human Activity•Numerics•Natural Phenomena•Space•Time•Units

* Raskin, R. G. and Pan, M. J. Knowledge representation in the semantic web for Earth and environmental terminology (SWEET).Computer & Geosciences, 31, 9 (2005), 1119-1125.

Page 13: Semantically-Assisted Geospatial Workflow Design Gobe Hobona, David Fairbairn, Philip James g.e.hobona@newcastle.ac.uk ACM GIS – 8 th November 2007 - Seattle.

SWEET

Profile of SWEET

0

50

100

150

200

250

300

sub-ontology

Num

ber

of D

efin

ed C

lass

es

Page 14: Semantically-Assisted Geospatial Workflow Design Gobe Hobona, David Fairbairn, Philip James g.e.hobona@newcastle.ac.uk ACM GIS – 8 th November 2007 - Seattle.

Implementation

• SWEET ontology uploaded from OWL documents into PostgreSQL

• Metadata held in a conventional DBMS with a catalogue service interface

• For each query, semantically related concepts found using Jena

• Additional methods implemented to calculate the number of edges

Page 15: Semantically-Assisted Geospatial Workflow Design Gobe Hobona, David Fairbairn, Philip James g.e.hobona@newcastle.ac.uk ACM GIS – 8 th November 2007 - Seattle.

Architecture

Catalogue Service

Metadata

Eclipse IDE

SAW-GEO Plug-In

BPEL Editor

Client-side Server-side

Ontology

Jena

Page 16: Semantically-Assisted Geospatial Workflow Design Gobe Hobona, David Fairbairn, Philip James g.e.hobona@newcastle.ac.uk ACM GIS – 8 th November 2007 - Seattle.

Response from Search

<Result class="http://sweet.jpl.nasa.gov/ontology/space.owl#AdministrativeRegion">

<Resource id="tiger:poly_landmarks@http://geoserver.itc.nl:8080/geoserver" edges="0" type="wfs" owl="http://sweet.jpl.nasa.gov/ontology/space.owl#AdministrativeRegion"/>

<Resource id="topp:tasmania_state_boundaries@http://gist.fsv.cvut.cz:8080/geoserver" edges="1" type="wfs" owl="http://sweet.jpl.nasa.gov/ontology/space.owl#Region"/>

<Resource id="tiger:giant_polygon@http://geobrain.laits.gmu.edu:8099/geoserver" edges="2" type="wfs" owl="http://sweet.jpl.nasa.gov/ontology/space.owl#SpatialObject"/>

</Result>

Search Concept

Number of edges between Search Concept and tag

Page 17: Semantically-Assisted Geospatial Workflow Design Gobe Hobona, David Fairbairn, Philip James g.e.hobona@newcastle.ac.uk ACM GIS – 8 th November 2007 - Seattle.

Ontology and Suggested Flow views ‘plugged into’ ActiveBPEL Designer

Page 18: Semantically-Assisted Geospatial Workflow Design Gobe Hobona, David Fairbairn, Philip James g.e.hobona@newcastle.ac.uk ACM GIS – 8 th November 2007 - Seattle.

Evaluation

• 15 OGC web services with 180 resources compiled from a Google search for GetCapabilities documents

• Resources tagged with references to OWL Concepts• Tags assigned according to specialist words in resource titles

• Resource titles obtained from GetCapabilities methods

• Average response time for discovery and edge count• Greatest cost where several resources are tagged with

concepts ‘far away’ from the search concept

• Possibilities for parallelisation as each concept can be searched for on a separate machine

Page 19: Semantically-Assisted Geospatial Workflow Design Gobe Hobona, David Fairbairn, Philip James g.e.hobona@newcastle.ac.uk ACM GIS – 8 th November 2007 - Seattle.

Conclusions and Future Work

• Proposed formula offers an algorithmic approach for comparing linear workflows

• Limitations to complete automation due to variations between properties of service inputs and outputs

• Future work should investigate non-linear workflows and the inclusion of conditional activities

• Need for a test corpus for evaluating catalogues of OGC web services

Thank You

[email protected]


Recommended