3. 3
Common aspects
Multi-disciplinarity
Multi-actor
• Context
• Objectives
• Approach
• Platforms
• Conclusion
Varying competence domains
Concepts
Property and Intellectual Property
Different points of view
Cooperation
Environmental Monitoring and Management
4. 4
Projects …
• Heritage
• ‘Integrated’ management
• Monitoring, follow-up... observatories
• Encourage cooperation
• Help in decision making
• Context
• Objectives
• Approach
• Platforms
• Conclusion
Environmental Monitoring and Management
5. 5
Projects …
• Context
• Objectives
• Approach
• Platforms
• Conclusion
Environmental Monitoring and Management
Roselt/Oss
Network of observatoires for
long-term ecological monitoring
Syscolag
Integrated management of the L-R coast
Padoue
Mediation of environmental data
Wademed
Management of irrigated areas
Ontotrait
6. 6
• Context
• Objectives
• Approach
• Platforms
• Conclusion
‘Improved communication of
environmental information
for better participation and
and involvement of actors.’
7. 7
Postulates
• Context
• Objectives
• Approach
• Platforms
• Conclusion
Data + Context
Information
Information + Analyses
Understanding
Understanding + Communication
Optimization of decision making
Possibility of sustainable development
How to easily locate data?
How to best understand the expression of its context?
How to best interpret the associated expertise?
How to render all this accessible and readable?
[Loubersac 2004]
8. 8
Facilitating information exchange and sharing
•Standards for sharing, distribution
Interoperability
•Associating usage and specifications
‘Semantic’ interoperability
• Context
• Objectives
• Approach
• Platforms
• Conclusion
9. 9
Unavoidable stages
• facilitating localization of resources
and access to them …
• facilitating dialogue between actors
The Systems
• Context
• Objectives
• Approach
• Platforms
• Conclusion
10. 10
Approach
• Data mutualization
• Knowledge mutualization
Metadata use
Constructing models
thesauri bases
thematic, spatial, business
• Context
• Objectives
• Approach
• Platforms
• Conclusion
11. 11
Why metadata?
• Context
• Objectives
• Approach
• Platforms
• Conclusion
Data mutualization
• Representing information
relating to data
• Using a ‘common language’
• Help in searching
12. 12
Role of metadata
• Context
• Objectives
• Approach
• Platforms
• Conclusion
Data mutualization
For the producer
management, description, promotion tool
For the user
evaluation of the relevance, meaning and
quality
For the administrator
control, protection …
13. 13
Data mutualization
• Context
• Objectives
• Approach
• Platforms
• Conclusion
Metadata Service
Resources
Site 1
Resources
Site 2
Resources
Site n
Knowledge access level
Federated distribution level
Metadata
Metadata
Resources level
Infrastructure
14. 14
Features of the service
• Referencing
Entering and updating metadata
manually
or semi-automatically
• Publishing
Making metadata available
(and the referenced sources)
• Browse, consult
(and acquire) via a query interface
• Context
• Objectives
• Approach
• Platforms
• Conclusion
Data mutualization
15. 15
Emergence of ISO 19115 – geographical metadata
TC/ 211 of the ISO
Standards organizations and countries adopt the
standard
OpenGIS
FGDC
CEN
AFNOR
ISO 19115
Metadata
• Context
• Objectives
• Approach
• Platforms
• Conclusion
Data mutualization
16. 16
• Context
• Objectives
• Approach
• Platforms
• Conclusion
Data mutualization
Organization into sections
identification, quality, spatial organization, …
Organization into three abstraction levels
basic, extended, complete
Adaptation
profiles
définit 1..1
0..*
comporte0..*
0..1
inclut
0..*
fille
1..1
mère
NormeRubriqueElément valué
Generic structure
17. 17
Levels of detail (granularity)
Collection
Document
Entities
Attributes
Land use maps
Land use map 2003
Value corresponding to an information element
e.g.: “grapevine”, 300 ha
Value corresponding to an information element
e.g.: “grapevine”, 300 ha
Occupation class, surface area, …
Occupied area
Data mutualization
• Context
• Objectives
• Approach
• Platforms
• Conclusion
18. 18
Collection
Document
Entities
Attributes
Value corresponding to an information element
e.g.: “grapevine”, 300 ha
Value corresponding to an information element
e.g.: “grapevine”, 300 ha
official name
no. of documents
scale
reference system
official name
no. of documents
scale
reference system
official name
date of last update
reference system
official name
date of last update
reference system
name
definition
name
definition
name
definition
value domain
measurement unit
name
definition
value domain
measurement unit
METADATA
Occupation class, surface area,…
Levels of detail
• Context
• Objectives
• Approach
• Platforms
• Conclusion
Data mutualization
19. 19
Knowledge mutualization
• Context
• Objectives
• Approach
• Platforms
• Conclusion
Metadata Service
Resources
Site 1
Resources
Site 2
Resources
Site n
Knowledge access level
Federated distribution level
Metadata
Metadata
Resources level
Infrastructure
Knowledge
Reference bases
20. 20
Two basic tools
• Controlling the vocabulary
thematic and spatial
ontology and thesauri
• Controlling spatial objects
spatial-objects bases
Knowledge mutualization
• Context
• Objectives
• Approach
• Platforms
• Conclusion
21. 21
• Context
• Objectives
• Approach
• Platforms
• Conclusion
Knowledge mutualization
Ontology of the domain
Term borrowed from philosophy
Study of what is
For us:
• Identifying, modeling a domain’s concepts
and the relationships between concepts
• Agree on the terms used to refer to these
concepts
• The object formalism is a ‘good’ candidate …
22. 22
• Context
• Objectives
• Approach
• Platforms
• Conclusion
Knowledge mutualization
ICZM
Ecosystems
Society
Water AirSoil Flora-fauna
Activities and uses
Economic
activities
Social and
cultural activities
Public policies
Infrastructure
Administrative org.
Networks
Exploitation of fishing resources
agriculture
bottom lines
trawl
Sea waters
Continental waters
Geomorphology
Fishing
Shellfish farming
Marine fauna
Hake
Lagoon waters
Continental shelf
Development
Common construction …
23. 23
• Context
• Objectives
• Approach
• Platforms
• Conclusion
Knowledge mutualization
Controlling the meaning of key elements of
the system.
Help in automatization.
Help in browsing.
Help in widening
of search queries.
Necessary for …
24. 24
• Context
• Objectives
• Approach
• Platforms
• Conclusion
Knowledge mutualization
QuickTime™ et un
décompresseur BMP
sont requis pour visionner cette image.
[Barde 2006]
25. 25
• Context
• Objectives
• Approach
• Platforms
• Conclusion
Help in searching
The interfaces
Knowledge mutualization
Guided search
The ‘spatial’ as an explicit aid
Criteria
Where, When, On what?
26. 26
• Context
• Objectives
• Approach
• Platforms
• Conclusion
The interfaces
Knowledge mutualization
From the hake, browsing links or expansion of the
search to:
• the actors associated in the role of exploitation:
(‘RT exploitation’)
• the habitat zones (‘RT habitat’)
Use the thesaurus relationships
- generic/specific
- RT
27. 27
The platforms
• Context
• Objectives
• Approach
• Platforms
• Conclusion
• Design
– Components and services approach
– Based on Java JEE
– Ensures use of GeoAPI - Geotools conforming to OGC/ISO
specifications
– Genericity/interoperability
• Adaptability
– Storing and use of reference bases of the target domain
– Data model capable of constructing a catalogue
according to various standards (ISO, Dublin Core,
SensorML, Thredds, etc.)
MDweb: an open source project
28. 28
The platforms
• Context
• Objectives
• Approach
• Platforms
• Conclusion
Portal
request
responses
Entry/SearchEntry/Search
Metadata
catalogue
Import/export module
Web client
Geographic objects
reference base
Thesaurus
Postgres/PosGis
PHP, XML, SVG
Apache server
29. 29
The platforms
• Context
• Objectives
• Approach
• Platforms
• Conclusion
Standard
s
Templates/Profil
es
MD’s DB for
community 1
Translation into XML
DTD
Catalogue of standards
Interface for creating/modifying templates (profiles)
30. 30
Perspectives
Increase inter-community experiences
- combine metadata
- exchange expertise
(specifications, uses, ...)
- access to resources
based on rights
• Context
• Objectives
• Approach
• Platforms
• Conclusion
Leading to
architectures of mediation for
data integration
31. 31
Recent publications
• Context
• Objectives
• Approach
• Platforms
• Conclusion
R. Kissi, JC Desconnets,T. Libourel: Intégration de données hétérogènes pour
un Système d’Aide à la Décision environnemental, InforSID 2008
JC. Desconnets, T. Libourel, S. Clerc, B. Granouillac
Cataloguing for distribution of environmental resources, In Proceedings
AGILE 2007
N. Mazouni , L. Loubersac, H. Rey-Valettes, T. Libourel, P. Maurel, J-C. Desconnets.
SYSCOLAG: A Transdiciplinary and multi-Stakeholder approach towards integrated
Coastal Area Amenagement. An experiment in Languedoc-Roussillon (France), In Life
and Environment, 2006, 56 (4): 265-274
J. Barde, T. Libourel, P. Maurel: A metadata service for Integrated Management of
Knowledges Related to Coastal Areas. Multimedia Tools and Applications, vol 25,
no. 3, 2005, pp 419-429
Y. Lin , T. Libourel, I. Mougenot
Workflow language for the experimental sciences, ICEIS 2009