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Collaboration Proposal Call for research projects 2012: UPV /EHU-UPPA

Rare Ocean Species Mediator Project. Collaboration Proposal Call for research projects 2012: UPV /EHU-UPPA . Content of this document. Brief description of the call for projects UPV/EHU –UPPA 2012 Rare Ocean Species Collector Challenges.

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Collaboration Proposal Call for research projects 2012: UPV /EHU-UPPA

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  1. Rare OceanSpeciesMediator Project Collaboration ProposalCall for researchprojects 2012: UPV/EHU-UPPA

  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

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

  10. How itworks? 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 Collective knowledge Insert (photo+Meta) Approve + Analysis fisherman Expert Search (Text+Photo) Annotate (Text+Photo) MMI Ontology User

  11. How itworks? Rare Ocean Species Collector Collective knowledge Insert (photo+Meta) Approve + Analysis fisherman Expert Search (Text+Photo) A user can look for rare fishesusinghis/hersmartphone. The retreivalisbased on: photo, keywords, or hybrid Annotate (Text+Photo) MMI Ontology User

  12. How itworks? Rare Ocean Species Collector A user canannotate (send feedback, enrich description and photos, etc.) rare fishes. Collective knowledge Insert (photo+Meta) Approve + Analysis 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 Annotate (Text+Photo) MMI Ontology User

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

  14. How itworks? Rare Ocean Species Collector An expert approves the inclusion into the knowledge base if input data concern rare fishes. Collective knowledge Insert (photo+Meta) Approve + Analysis 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) 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 capturer Centrolophe noir subject janvier 1999 3D localization Geographical Information Anaphore specie action 1Espèce déjà capturée en janvier 1999 devant Tarnos par 15m de fond time Tarnos par 15m de profondeur

  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 (photoand 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 • 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?

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