Examples of Ontology Applications Seventh Agricultural Ontology Service Workshop Bangalore, India Gauri Salokhe  { [email_address] }
Outline FAO examples Food safety Fisheries Food Nutrition and Agriculture Journal External examples Crop-biosecurity Ontology Crop-pest Ontology Vivo
FAO Examples in Agriculture Domain
Food Safety International Portal on Food Safety, Animal & Plant Health  a domain ontology for  food safety, animal health, and plant health  of 1600 concepts in English  Starting from the AGROVOC Thesaurus and specific terminology from web sites and documents Ontology was modeled using the KAON tools. http://www.ipfsaph.org/
Food Safety 1600 concepts Information Resources Codex Alimentarius Agreements Brainstorming Ontology Ontology Editor (OI-Modeler) subject specialists Agrovoc Food Safety Documents Generic Documents
Food Safety
Food Safety
Fisheries Goal Making information interchangeable between ASFA, FIGIS, OneFish and AGROVOC Approach Creating an ontology, integrating or mapping the 3 different systems + AGROVOC Linking of the Ontology through wrappers to the different Information Systems 25000 concepts – English
Fisheries ASFA OneFish FIGIS AGROVOC 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
Fisheries
Fisheries
Fisheries “ navire de  p ê che”, “fishing  vessel”,  “ embarcaciones  de pesca” AGROVOC or  ASFA or other “ fishing vessels,”  “ fishing boat,” AGROVOC:  “ships” ASFA:  “fishing  vessels”
String based search
Closer look at the results Concept-based search - Did you mean  vessels (fishing)  or  vessels (blood) ?
Example “Japanese fishing vessel” The system searches for documents related to Japan and fishing vessel If 0 results are retrieved, the system searches for Asia and fishing vessel Japan Asia
Food Nutrition and Agriculture Journal Bibliographical Metadata Ontology: 14 ‘metadata’ concepts + 1800 instances – 3 languages ontology was created, as follows: A  “meta”-metadata ontology  was created containing relationships between resource attributes such as title, author, keyword.  Metadata from 2 different sources combined and converted to RDF.  use existing semantic relationships between, for example, author and keyword, that are not normally exploited in bibliographic databases allowed for more meaningful and hence user-friendly browse experiences.
Food Nutrition and Agriculture Journal Ontology Ontology Editor (OI-Modeler) FAOBIB DOCREP XSLT
Food Nutrition and Agriculture Journal
Food Nutrition and Agriculture Journal
 
 
 
 
 
 
 
 
 
 
 
 
External Examples in Agriculture Domain
Crop-biosecurity Ontology
Crop-biosecurity Ontology Cataloguing existing training resources and searching by ontology.  Ontology 215 concepts related to Crop-bioscurity ~100 properties that relate the concepts to each other Training material are instances of the ontology Metadata created by merging NAL, AgNIC, E-extension and Extension Disaster Education Network (EDEN) Contact: Howard Beck  {hwb@ufl.edu } http://www.minuetto.net/soonho/cropbiosecurity/web4
Crop-pest Ontology Using Crop-pest ontology to facilitate image searching and browsing http://orb.at.ufl.edu/CropPest   Contact: Howard Beck { [email_address] }
Crop-pest Ontology
ViVo: Virtual Life Sciences Library  information about courses, genomics services, faculty, departments, undergraduate majors, graduate fields --- anything related to the Life Sciences at Cornell.  Underlying architecture is an ontology
ViVo : Virtual Life Sciences Library
Thank you ! Many more on... http://www.fao.org/aims/onto_domains.jsp

Examples of Ontology Applications

  • 1.
    Examples of OntologyApplications Seventh Agricultural Ontology Service Workshop Bangalore, India Gauri Salokhe { [email_address] }
  • 2.
    Outline FAO examplesFood safety Fisheries Food Nutrition and Agriculture Journal External examples Crop-biosecurity Ontology Crop-pest Ontology Vivo
  • 3.
    FAO Examples inAgriculture Domain
  • 4.
    Food Safety InternationalPortal on Food Safety, Animal & Plant Health a domain ontology for food safety, animal health, and plant health of 1600 concepts in English Starting from the AGROVOC Thesaurus and specific terminology from web sites and documents Ontology was modeled using the KAON tools. http://www.ipfsaph.org/
  • 5.
    Food Safety 1600concepts Information Resources Codex Alimentarius Agreements Brainstorming Ontology Ontology Editor (OI-Modeler) subject specialists Agrovoc Food Safety Documents Generic Documents
  • 6.
  • 7.
  • 8.
    Fisheries Goal Makinginformation interchangeable between ASFA, FIGIS, OneFish and AGROVOC Approach Creating an ontology, integrating or mapping the 3 different systems + AGROVOC Linking of the Ontology through wrappers to the different Information Systems 25000 concepts – English
  • 9.
    Fisheries ASFA OneFishFIGIS AGROVOC 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
  • 10.
  • 11.
  • 12.
    Fisheries “ navirede p ê che”, “fishing vessel”, “ embarcaciones de pesca” AGROVOC or ASFA or other “ fishing vessels,” “ fishing boat,” AGROVOC: “ships” ASFA: “fishing vessels”
  • 13.
  • 14.
    Closer look atthe results Concept-based search - Did you mean vessels (fishing) or vessels (blood) ?
  • 15.
    Example “Japanese fishingvessel” The system searches for documents related to Japan and fishing vessel If 0 results are retrieved, the system searches for Asia and fishing vessel Japan Asia
  • 16.
    Food Nutrition andAgriculture Journal Bibliographical Metadata Ontology: 14 ‘metadata’ concepts + 1800 instances – 3 languages ontology was created, as follows: A “meta”-metadata ontology was created containing relationships between resource attributes such as title, author, keyword. Metadata from 2 different sources combined and converted to RDF. use existing semantic relationships between, for example, author and keyword, that are not normally exploited in bibliographic databases allowed for more meaningful and hence user-friendly browse experiences.
  • 17.
    Food Nutrition andAgriculture Journal Ontology Ontology Editor (OI-Modeler) FAOBIB DOCREP XSLT
  • 18.
    Food Nutrition andAgriculture Journal
  • 19.
    Food Nutrition andAgriculture Journal
  • 20.
  • 21.
  • 22.
  • 23.
  • 24.
  • 25.
  • 26.
  • 27.
  • 28.
  • 29.
  • 30.
  • 31.
  • 32.
    External Examples inAgriculture Domain
  • 33.
  • 34.
    Crop-biosecurity Ontology Cataloguingexisting training resources and searching by ontology. Ontology 215 concepts related to Crop-bioscurity ~100 properties that relate the concepts to each other Training material are instances of the ontology Metadata created by merging NAL, AgNIC, E-extension and Extension Disaster Education Network (EDEN) Contact: Howard Beck {hwb@ufl.edu } http://www.minuetto.net/soonho/cropbiosecurity/web4
  • 35.
    Crop-pest Ontology UsingCrop-pest ontology to facilitate image searching and browsing http://orb.at.ufl.edu/CropPest Contact: Howard Beck { [email_address] }
  • 36.
  • 37.
    ViVo: Virtual LifeSciences Library information about courses, genomics services, faculty, departments, undergraduate majors, graduate fields --- anything related to the Life Sciences at Cornell. Underlying architecture is an ontology
  • 38.
    ViVo : VirtualLife Sciences Library
  • 39.
    Thank you !Many more on... http://www.fao.org/aims/onto_domains.jsp