ARC Linkage - Metadata Project...– User generated metadata: folksnomy • Semantic Web – Machine...

Centre for SDI and

Land Administration

ARC Linkage - Metadata Project

9 February 2009

spatial metadata automationspatial metadata automationspatial metadata automationspatial metadata automation

Centre for SDIs and Land Administration

spatial metadata spatial metadata spatial metadata spatial metadata automationautomationautomationautomation

Agenda

• Welcome and acknowledgment

• Objectives of the meeting

• Overview of the Project

• Research Methodology and case studies

• Progress so Far

• Input by Partners

• Discussion



Department of Sustainability and Environment

Acknowledgment - Partners

Department of Primary Industries



Research Team

• A/Professor Rajabifard (CI and Project Leader)

• Professor Ian Williamson (CI)

• Dr. Christopher Pettit (PI)

• Dr. Mohsen Kalantari (RF and Project Coordinator)

• Mr. Andrew Binns (RF)

• PhD Student (TBA)

• Centre for SDI and LA



Objective of the Meeting

• Officially launch the project.

• Introduction to the project, the research team, research structure.

• Research methodology and progress so far.

• Input into the overall research objectives and direction of the project by partners.



Project Overview



Project overview – Background and Funding

• ARC Linkage 2008-2011

Metadata AutomationMetadata AutomationJoint research

with ETH Swiss CRC 3.7

Research in Europe

Current Research



Project Overview - Budget

• Funding requested (ARC):– $126,000 per year

• Funding allocated (ARC):

– $70,000 per year

• Total Funding Available: $333,000

– ARC $210,000

– Partner Contribution $123,000

• Research Fellow (50%)

• PhD Student

• Honorary Fellow (part-time)

• Research Assistant input, travel and other expenses ($10,000 per year)



Project overview – Aims and Objectives

• Aim

– demonstrate that metadata and spatial data can be integrated within the one spatial dataset , so that when the spatial data is updated, the metadata related to that data set is also updated

• Objective

– The major outcomes of the project are development and demonstration of model driven tools for recording, updating and delivering metadata in an automated fashion.



Project overview – Research Process

Develop prototype systems based on integrated data/metadata model

Automatic metadata generation

Metadata/ spatial data integration

Metadata delivery

Vic Pilot Project

Investigate methods to automate the process of

updating metadata

NSW Pilot Project

Investigate the concept of views supporting any metadata

schema at any time

Investigate methods to integrate metadata as

part of spatial data

Investigate and assess metadata standards, databases

and usage

Geonetwork User and Developers

Group

Results of CRC-SI Project 3.7

Results of partners user business and functional

specifications requirements



Project overview - Timelines

Time line of research steps 2008 2009 2010 2011

Research Steps July-Dec

Jan-Jun

1. Investigate and assess current metadata standards, databases and uses, focusing on future, dynamic and on-line requirements.

2. Investigate the process involved in integrating metadata and spatial data within the one file or database.

3. Investigate the concept of views to support any metadata schema at any time without changing the file or database.

4. Investigate the process involved in integrating metadata and spatial data within the one file or database.

5. Undertake pilot projects

6. Develop an integration model to integrate the management and updating of metadata and spatial data.

PhD 1 - Develop methods to automate processes of metadata creation and updating through the development of pilot projects.

7. Develop prototype metadata generation capabilities (tools/software) for recording, updating and delivering metadata and spatial data in an integrated and automated manner.

8. Test and refine tools developed within pilot projects.

9. Publication and knowledge transfer strategy (including project web site)



Research Methodology



Project Background

• Ongoing research within the Centre on different aspects of SDIs

• Joint Research with Swiss Federal Institute of technology on metadata and data integration

• CRC Project 3.7- Metadata Entry Tool

• Collaboration with European partners



Project Background

Adopted form (Najar, Rajabifard and other 2007)



Spatial Metadata Automation

• Research ProblemInefficiency in maintaining spatial metadata records

• HypothesisAutomating the spatial metadata generation and updating can

bring effectiveness in publishing, finding and exploiting spatial information.



Suggested Objectives of the research project

1. Study on metadata ontology

2. Study on current practices in Spatial Metadata Tools

3. Case Study within project partners

4. Development of the concept of Metadata Automation

5. Investigation on technological trends and their impact on metadata: web 2.0, semantic web…..

6. Design and development of a prototype system for metadata automation



Objective 1: Metadata Ontology

• Metadata is critical and vital for any information infrastructure

– Libraries

– Web environment

– SDI

• Concept seems simple but efficient and effective implementation is complex



Objective 1: Metadata Ontology

Data Model

Standard Metadata Tool

Dublin/ ISO Spatial

ANZLIC

Social Spatial Tagging

Open Source: GeoNetwork

Proprietary: ESRI

Integrated data models

Dynamic data models

Detached data models

Adopted form (Najar, Rajabifard and other 2007)



Objective 1: Metadata Data Model

• General v. specialist (ISO, Dublin, ANZLIC)

• Minimalist v. rich

• Hierarchical v. linear

• Machine generated v. human authored

• Structured v. unstructured

• Embedded v. detached



Objective 2: Metadata Usage

• Discovery Metadata

– Spatial tags

• Exploration Metadata

– Standards

• Exploitation Metadata

– Model metadata



Objective 2: Metadata tool Evaluation

Category Criteria

Technical

Web based development technology

Database technology and access

Robust Code

Easy Deployment

Open source or Freeware software

Standards

Standard 1

Standard 2

Standard n

User Interface

Similarity to common software

Intuitive navigation logic

Intuitive interface enabling easy creation and editing of metadata records

Functionalities

Contact reuse

Record duplication

Automatic and integrated update

Search tools

Edit tools

Import and export tools

Format Conversion

Print Friendly layout

Help facility



Objective 2: Current tool

• Repository of some 25 spatial metadata toolsfor capturing, storing and maintaining

• One tool is equipped with automatic update and extraction facility

– ESRI Arc Catalogue for metadata synchronization

tkme / Peter Schweitzer (USGS)

ArcCatalog / ESRI

Spatial Metadata Management System (SMMS) / Intergraph

FGDCMETA (AML) / Dan Nelson (Illinois State Geological Survey)

xtme / Peter Schweitzer (USGS)

Corpsmet95 / U.S. Army Corps of Engineers

Geonetwork/blueNet/

CatMDEdit / TeIDE consortium

DataLogr / IMAGIN

Data Tracker GIS, Data Tracker FGDC/ AXON Systems, Inc.

Enraemed/ GSDI Association and FGDC

GEOSCOPE / Intelec Geomatics Inc.

ISO Metadata Editor (IME) / INTA

M³Cat / Intelec Geomatics Inc.

METADATA (AML) / Frank Roberts (Coeur d'Alene Tribe)

Meta-Door / Caro-COOPS

MetaLite / USGS, United Nations Environment Program

MetaScribe / NOAA Coastal Services Center

MetaStar Data Entry / Blue Angel Technologies

Metavist 2005 / Dave Rugg, USFS R&D

MMS MetaData System / Michiel Boelhouwer

Morpho / Knowledge Network for Biocomplexity

NPS Metadata Tools and Editor / National Park Service

Three Tab Metadata Editor / Frank Roberts, Coeur d'Alene Tribe GIS Program

XMLInput / Mid Continent Mapping Center (USGS)



Objective 2: current Practices

• Australia – ANZLIC– Geonetwork

• Victoria – DSE and DPI

• NSW– Department of Lands

• Europe – INSPIRE

– Spain



Objective 3: Metadata Automation

• Metadata Automation

– Synchronization

• process by which properties of a dataset are read from the dataset and written into its metadata

– Learning Objects

• Automatic metadata extraction from spatial information

– Social Tagging • User generated metadata for users, …..



Objective 4: Innovative Solutions

• Web 2.0 concept and its relation to metadata

– The Web as platform

– Harnessing collective intelligence

– User generated metadata: folksnomy

• Semantic Web

– Machine interoperability



Research Methodology

Metadata OntologyCurrent

Tools / Practices

Metadata AutomationConcept

TechnologicalTrends

DPIPilot-Model Metadata

DPIPilot-Model Metadata

Prototype Development

Test andImprovement

DSE

DoL-NSW

Cube Werx

Ausoft

Logica

Selected Approach



Case Study within DPI- Partner Investigator



DPI Related Research Interests

•e-Science Collaboration tools

•3D Spatial Data Infrastructure

•Scenario planning approach supported by models

•Metadata for data and models

Model Information Knowledge Environment



E-Science Research Framework

SOIL INFORMATICS

CLIMATE INFORMATICS

WATER INFORMATICS

OTHERBIOLOGICAL

INFORMATICS

Planners CommunitiesPolicy-makers

Climate data

Collaboration

Visualisation

Risk models

Climate models

Expertise + Technology

Metadata

Land managers Investors Industry



• Land suitability models

• Crop production models

• Hydrological models

• Socio-economic models

• Uncertainty models

• 3D models

Climate Change models

Scenario planning approach supported by models



Model Information Knowledge Environment (MIKE)



•How can we better automate metadata entry?

•How can modellers and end-users search and discover model instances?

•How can Government better understand where we are data rich?.

•How can we support better monitoring and evaluation of landscape condition through search and access of temporal datasets and models?

Research Questions



Project Plan



Project Plan

Research steps 2009 2010 2011

Investigate Metadata Ontology and Concept

Investigate and assess current metadata standards, databases and uses, focusing on future, dynamic and on-line requirements.

Investigate the process involved in automating metadata

PhD - Develop methods to automate processes of metadata creation and

updating through the development of pilot projects.

Development of metadata automation concept

Case studies with the project partners

Develop prototype metadata generation capabilities (tools/software) for recording, updating and delivering metadata and spatial data in an integrated and automated manner.

Test and refine tools developed within pilot projects.

Publication and communication including web site and regular updates



Partners’ Input and discussion



© Copyright The University of Melbourne 2008

CENTRE FOR SDIs AND LAND ADMINISTRATION

spatial metadata automationspatial metadata automationspatial metadata automationspatial metadata automation

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