spatial metadata automation

Transcription

1 ARC Linkage - Metadata Project 9 February 2009 Centre for SDI and

2 Agenda Welcome and acknowledgment Objectives of the meeting Overview of the Project Research Methodology and case studies Progress so Far Input by Partners Discussion

3 Acknowledgment - Partners Department of Sustainability and Environment Department of Primary Industries

4 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

5 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.

6 Project Overview

7 Project overview Background and Funding ARC Linkage Current Research Joint research with ETH Swiss Metadata Automation CRC 3.7 Research in Europe

8 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)

9 Aim Project overview Aims and Objectives 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.

10 Project overview Research Process Results of partners user business and functional specifications requirements Investigate and assess metadata standards, databases and usage Geonetwork User and Developers Group Results of CRC-SI Project 3.7 Investigate methods to integrate metadata as part of spatial data Investigate the concept of views supporting any metadata schema at any time Investigate methods to automate the process of updating metadata Vic Pilot Project NSW Pilot Project Develop prototype systems based on integrated data/metadata model Metadata/ spatial data integration Metadata delivery Automatic metadata generation

11 Project overview - Timelines Time line of research steps Research Steps 1. Investigate and assess current metadata standards, databases and uses, focusing on future, dynamic and on-line requirements. July- Dec Jan- Jun 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)

12 Research Methodology

13 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

14 Project Background Adopted form (Najar, Rajabifard and other 2007)

15 Spatial Metadata Automation Research Problem Inefficiency in maintaining records Hypothesis Automating the generation and updating can bring effectiveness in publishing, finding and exploiting spatial information.

16 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

17 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

18 Objective 1: Metadata Ontology Data Model Integrated data models Dynamic data models Detached data models Adopted form (Najar, Rajabifard and other 2007) Metadata Tool Open Source: GeoNetwork Proprietary: ESRI Standard Dublin/ ISO Spatial ANZLIC Social Spatial Tagging

19 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

20 Objective 2: Metadata Usage Discovery Metadata Spatial tags Exploration Metadata Standards Exploitation Metadata Model metadata

21 Category Technical Standards User Interface Functionalities Criteria Objective 2: Metadata tool Evaluation Web based development technology Database technology and access Robust Code Easy Deployment Open source or Freeware software Standard 1 Standard 2 Standard n Similarity to common software Intuitive navigation logic Intuitive interface enabling easy creation and editing of metadata records Contact reuse Record duplication Automatic and integrated update Search tools Edit tools Import and export tools Format Conversion Print Friendly layout Help facility

22 Objective 2: Current tool Repository of some 25 tools for capturing, storing and maintaining 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. One tool is equipped with automatic update and extraction facility ESRI Arc Catalogue for metadata synchronization 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)

23 Objective 2: current Practices Australia ANZLIC Geonetwork Victoria DSE and DPI NSW Department of Lands Europe INSPIRE Spain

24 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,..

25 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

26 Research Methodology Metadata Ontology Current Tools / Practices Metadata Automation Concept Technological Trends DPI Pilot-Model Metadata DSE DoL-NSW Selected Approach Prototype Development Cube Werx Ausoft Logica Test and Improvement

27 Case Study within DPI- Partner Investigator

28 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

29 E-Science Research Framework Policy-makers Planners Land managers Investors Industry Communities BIOLOGICAL INFORMATICS WATER INFORMATICS CLIMATE INFORMATICS SOIL INFORMATICS OTHER Collaboration Visualisation Risk models Climate models Climate data Metadata Expertise + Technology

30 Scenario planning approach supported by models Land suitability models Crop production models Hydrological models Socio-economic models Uncertainty models 3D models Climate Change models

31 Model Information Knowledge Environment (MIKE)

32 Research Questions 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?

33 Project Plan

34 Project Plan Research steps 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 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

35 Partners Input and discussion

36 CENTRE FOR SDIs AND LAND ADMINISTRATION Copyright The University of Melbourne 2008