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Project Proposal for a Fishery Ontology Service Aldo Gangemi CNR-ISTC Institute of Cognitive Sciences and Technologies [email_address]
The task of the preliminary proposal ,[object Object]
It is a content capturing task! ,[object Object],[object Object]
What is an ontology ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Ontology data vs. o. building elements ,[object Object],[object Object]
Formalised ontology vs. informal terminology ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Ontologies  constrain   intended meaning Conceptualization  C Language L Models  M(L) Ontology Intended models  I K (L)
Ontological interoperability ,[object Object],[object Object],[object Object],[object Object]
Ontology for metadata specification ,[object Object],[object Object],[object Object]
In general, ontologies enhance the  quality  of an application by expliciting the assumptions of designers, implementors, users
Main advantages of conceptual-based terminologies for textual data treatment ,[object Object],[object Object],[object Object]
Aquaculture  in AGROVOC
Aquaculture  in ASFA
Aquaculture  in oneFish
Aquaculture  in FIGIS (composites) Aquaculture  Resource Water   Area land strains Species life cycle Farming  system management  system Production center Spawning technique Breeding  technique Hatchery  technique Expl. form Regulation Farming technique Environment Institution Health monitoring technique diseases suppliers
oneFish topic trees ( worldviews ) Administration Subjects Ecosystem Geography Species Stakeholders
Technical issues involved in the project ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Detailed steps for prototype IFO development ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Ontology Library Architecture Domain Ontologies banana, organic lettuce, rose Middle and Core* Ontologies plant*, crop*, fishery*, law, ship Upper Ontologies object, event, part, precedes, shape Representation Ontologies concept, slot, instance, role, function
Fishery ontology library Domain ontologies Representation ontology Upper ontology Core ontology Geographic ontology Species ontology Institutions ontology Fishing devices ontology Fishing and farming techniques ontology Farming systems ontology Fishery regulations ontology Fishery management ontology Biological ontology Devices ontology Legal ontology Management ontology external theories:
What is being done for fast prototyping a FOS-based system (1) ,[object Object],[object Object],[object Object],[object Object]
FOS development (2) ,[object Object],[object Object],[object Object]
A view of the OCT upper level
The core ontology for  capture fishery
The core ontology for  aquaculture
An excerpt of the ontology ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The APO schema Activity :Occurrence 1 PARTICIPANT n n n n n n Object :Entity 1 METHOD n n n n n n Plan :MentalObject (composed) 1 INVOLVED-IN n n n n n n
FOS development (3) ,[object Object],[object Object],[object Object],[object Object],[object Object]
Fishery merged info access

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Project proposal for a fishery ontology service

  • 1. Project Proposal for a Fishery Ontology Service Aldo Gangemi CNR-ISTC Institute of Cognitive Sciences and Technologies [email_address]
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7. Ontologies constrain intended meaning Conceptualization C Language L Models M(L) Ontology Intended models I K (L)
  • 8.
  • 9.
  • 10. In general, ontologies enhance the quality of an application by expliciting the assumptions of designers, implementors, users
  • 11.
  • 12. Aquaculture in AGROVOC
  • 14. Aquaculture in oneFish
  • 15. Aquaculture in FIGIS (composites) Aquaculture Resource Water Area land strains Species life cycle Farming system management system Production center Spawning technique Breeding technique Hatchery technique Expl. form Regulation Farming technique Environment Institution Health monitoring technique diseases suppliers
  • 16. oneFish topic trees ( worldviews ) Administration Subjects Ecosystem Geography Species Stakeholders
  • 17.
  • 18.
  • 19. Ontology Library Architecture Domain Ontologies banana, organic lettuce, rose Middle and Core* Ontologies plant*, crop*, fishery*, law, ship Upper Ontologies object, event, part, precedes, shape Representation Ontologies concept, slot, instance, role, function
  • 20. Fishery ontology library Domain ontologies Representation ontology Upper ontology Core ontology Geographic ontology Species ontology Institutions ontology Fishing devices ontology Fishing and farming techniques ontology Farming systems ontology Fishery regulations ontology Fishery management ontology Biological ontology Devices ontology Legal ontology Management ontology external theories:
  • 21.
  • 22.
  • 23. A view of the OCT upper level
  • 24. The core ontology for capture fishery
  • 25. The core ontology for aquaculture
  • 26.
  • 27. The APO schema Activity :Occurrence 1 PARTICIPANT n n n n n n Object :Entity 1 METHOD n n n n n n Plan :MentalObject (composed) 1 INVOLVED-IN n n n n n n
  • 28.