1. Collaboration Proposal Call for research projects 2012: UPV/EHU-UPPA
Rare Ocean Species Mediator Project

2. Content of this document
Brief description of the call for projects UPV/EHU –UPPA 2012
Rare Ocean Species Collector
Challenges

3. Brief description of the call for projects UPV/EHU –UPPA 2012

4. Call for projects UPV/EHU -UPPA
Aim of the call
Initiate and finance common projects in order to setup, in near future, bigger and more ambitious (multidisciplinary) projects: European funding Framework Program, POCTEFA, FEDER, …
Grant Period
1 year
Maximum Budget
6K euros
Main expenses
Travels, technical assistance, …
Deadline
10th October 2012

5. Possible partners Marine Biology Computer Science LRHA/IFREMER(France)
AZTI (Basque Country)
Computer Science
LIUPPA (France)
UPV Teams (Basque Country)

6. Rare Ocean Species Collector

7. Project Context
Collecting information (location, species, etc.) related to the capture of rare* fishes and invertebrates in the ocean is done by several institutes (IFREMER, AZTI, Museum of Natural History, La Rochelle University, etc.) mainly thanks to the help of fishermen
Problems
No common methodology
No data sharing
No information indexing/retrieval
No data analysis (since input data are only few)
* Never/occasionally captured previously

8. Project Aim Setup an easy-to-use solution able to
Standardize information representation
Reduce fishermen efforts
Increase and speed up data input
Provide collective knowledge and data analysis

9. Rare Ocean Species Collector
Project Framework
Rare Ocean Species Collector
Insert
(photo+Meta)
Collective
knowledge
Approve + Analysis
Fish
Photo
fisherman
Expert
Search
(Text+Photo)
MetaData
Annotate
(Text+Photo)
MMI Ontology
User

10. Rare Ocean Species Collector
How it works?
Rare Ocean Species Collector
When observing a captured rare fish, a fisherman can take a snapshot on his boat using his cellular phone and upload it into the provided application
Insert
(photo+Meta)
Collective
knowledge
Approve + Analysis
Fish
Photo
fisherman
Expert
Search
(Text+Photo)
MetaData
Annotate
(Text+Photo)
MMI Ontology
User

11. Rare Ocean Species Collector
How it works?
Rare Ocean Species Collector
Insert
(photo+Meta)
Collective
knowledge
Approve + Analysis
Fish
Photo
fisherman
Expert
Search
(Text+Photo)
A user can look for rare fishes using his/her smartphone. The retreival is based on: photo, keywords, or hybrid
MetaData
Annotate
(Text+Photo)
MMI Ontology
User

12. Rare Ocean Species Collector
How it works?
Rare Ocean Species Collector
A user can annotate (send feedback, enrich description and photos, etc.) rare fishes.
Insert
(photo+Meta)
Collective
knowledge
Approve + Analysis
Fish
Photo
fisherman
Expert
Search
(Text+Photo)
A user can look for rare fishes using his/her smartphone. The retreival is based on: photo, keywords, or hybrid
MetaData
Annotate
(Text+Photo)
MMI Ontology
User

13. Rare Ocean Species Collector
How it works?
Rare Ocean Species Collector
An expert approves the inclusion into the knowledge base if input data concern rare fishes.
Insert
(photo+Meta)
Collective
knowledge
Approve + Analysis
Fish
Photo
fisherman
Expert
Search
(Text+Photo)
MetaData
Annotate
(Text+Photo)
MMI Ontology
User

14. Rare Ocean Species Collector
How it works?
Rare Ocean Species Collector
An expert approves the inclusion into the knowledge base if input data concern rare fishes.
Insert
(photo+Meta)
Collective
knowledge
Approve + Analysis
Fish
Photo
fisherman
Expert
An expert can use the collective knowledge to anaylse the location of specific rare fishes, trace its spatio-temporal migration, etc.
Search
(Text+Photo)
MetaData
Annotate
(Text+Photo)
MMI Ontology
User

15. Challenges

16. Challenges Acquisition
How to define and easy-to-use and quality input acquisition protocol?
How to assist the expert in his/her decision when no enough/relevant data is provided?

17. Challenges
Storage
How to define a standard representation able to consider different semantics and meanings?
How to reconstruct geographical information (action, subject, time, 3D space, anaphoric resolution) from existing non structured documents?
Famille Centrolophidae – Centrolophe noir (Centrolophus niger Gmelin, 1788)1
1 Espèce déjà capturée en janvier 1999 devant Tarnos par 15m de fond
Geographical
Information
subject
action
time 3D
localization
specie
capturer
janvier 1999
Tarnos par 15m de profondeur
Centrolophe noir
Anaphore

18. Challenges
Storage
How to enrich/link data with external sources (Web, PreviMer, SHOM, etc.)?
Building multimedia oriented crawlers/wrappers?
Building ontologies from structured and non structured sources?
Measuring information quality

19. Challenges
Retrieval
How to provide multi-criteria query (photo and text)?
How to adapt user/expert/fisherman interface (vocabulary, screens, services)?
How to identify good services and how to compose new ones?
Mashup based approach

20. Challenges Applications Promotion
How to generate on-the-fly applications (for mining, for annotating, etc.) ?
Mashup based approach
Promotion
How to attract people to use “Rare Ocean Species Collector” application(s)?
Towards Game Theory?