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Ontology Portal for the Food, Nutrition and Agriculture Journal

Ontology Portal for the Food, Nutrition and Agriculture Journal. FAO, 10 June 2004. Outline. What’s behind the portal What are semantic technologies What’s possible to do. What’s behind the portal. A bibliographical metadata ontology. FAOBIB. DOCREP. Merging + Transform.

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Ontology Portal for the Food, Nutrition and Agriculture Journal

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  1. Ontology Portal for the Food, Nutrition and Agriculture Journal FAO, 10 June 2004

  2. Outline • What’s behind the portal • What are semantic technologies • What’s possible to do...

  3. What’s behind the portal...

  4. A bibliographical metadata ontology FAOBIB DOCREP Merging + Transform • The ontology is composed of: • concepts • relationships between concepts • instances

  5. What are semantic technologies

  6. Semantic technologies • Intend to give meaning to web content and make use of it. • Information is formalized in order to eliminate ambiguities • Information is unambiguously defined for machine-processing • Semantic technologies include tools, processing, and techniques (e.g. natural language processing, etc.) • Ontologies • Knowledge representation and organization • Concepts are uniquely defined in terms of constraints and the surrounding context, realised with multiple lexicalisations (synonyms, translations, etc.) • Capability of performing reasoning or making inferences

  7. What’s possible to do...

  8. What is possible to do (1) • Easy navigation of the objects by following the semantic links • Multilingual concept resolution

  9. What is possible to do (2) • Get suggestions for the navigation(e.g. synonyms): DEMO

  10. What is possible to do (3) • Guided query formulation DEMO

  11. What is possible to do (4) • Improve browsing: • e.g. continent / regions / countries • e.g. link Agris/Caris categories with keywords • Perform some inferencing: • get the authors associated with specific keywords or vice versa (“what an author wrote about between two years”, “who wrote about famine in 1999”, etc.)

  12. What is possible to do (5) • Perform some inferencing: • get the co-authors • show articles with the same set or related keywords

  13. What is possible to do (6) • Improve searching: • concept identification through natural language processing: spell checking, parsing (e.g. “Dietary guidelines for human nutrition” or “Anaemia in children”)

  14. What else... ... and lots more. Thanks!

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