Gauri Salokhe, FAO 1/ Examples of Ontology Applications Seventh Agricultural Ontology Service Workshop Bangalore, India Gauri.

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Presentation transcript:

Gauri Salokhe, FAO 1/ Examples of Ontology Applications Seventh Agricultural Ontology Service Workshop Bangalore, India Gauri Salokhe

Gauri Salokhe, FAO 2/ Outline FAO examples –Food safety –Fisheries –Food Nutrition and Agriculture Journal External examples –Crop-biosecurity Ontology –Crop-pest Ontology –Vivo

Gauri Salokhe, FAO 3/ FAO Examples in Agriculture Domain

Gauri Salokhe, FAO 4/ 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.

Gauri Salokhe, FAO 5/ Food Safety 1600 concepts Information Resources Codex Alimentarius Agreements Brainstorming Ontology Ontology Editor (OI-Modeler) subject specialists Agrovoc Food Safety Documents Generic Documents

Gauri Salokhe, FAO 6/ Food Safety

Gauri Salokhe, FAO 7/ Food Safety

Gauri Salokhe, FAO 8/ 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 concepts – English

Gauri Salokhe, FAO 9/ 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

Gauri Salokhe, FAO 10/ Fisheries

Gauri Salokhe, FAO 11/ Fisheries

Gauri Salokhe, FAO 12/ 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”

Gauri Salokhe, FAO 13/ String based search

Gauri Salokhe, FAO 14/ Closer look at the results Concept-based search - Did you mean vessels (fishing) or vessels (blood)?

Gauri Salokhe, FAO 15/ 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

Gauri Salokhe, FAO 16/ Food Nutrition and Agriculture Journal Bibliographical Metadata Ontology: 14 ‘metadata’ concepts 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.

Gauri Salokhe, FAO 17/ Food Nutrition and Agriculture Journal Ontology Ontology Editor (OI-Modeler) FAOBIB DOCREP XSLT

Gauri Salokhe, FAO 18/ Food Nutrition and Agriculture Journal

Gauri Salokhe, FAO 19/ Food Nutrition and Agriculture Journal

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Gauri Salokhe, FAO 32/ External Examples in Agriculture Domain

Gauri Salokhe, FAO 33/ Crop-biosecurity Ontology

Gauri Salokhe, FAO 34/ 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

Gauri Salokhe, FAO 35/ Crop-pest Ontology Using Crop-pest ontology to facilitate image searching and browsing Contact: Howard Beck

Gauri Salokhe, FAO 36/ Crop-pest Ontology

Gauri Salokhe, FAO 37/ 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

Gauri Salokhe, FAO 38/ ViVo : Virtual Life Sciences Library

Gauri Salokhe, FAO 39/ Thank you! Many more on...