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  • Research and development Infrastructure WP Application WPs Dissemination WPs Management
  • The ultimate goal is to make FAO’s existing information on fishery stocks more accessible and to provide adequate information to allow policy makers at national and international level to make informed decisions. This would require the creation of solutions to address the issue of exchange of information in a networked environment by using integrated, agreed-upon ontologies, which can be maintained and improved over-time. These ontologies in metadata models and knowledge organization will allow the creation of intelligent ontology-based multilingual systems for searching distributed and disaggregated information resources. Some of the functionalities the alert-system will provide are: a search environment, user customisation functionality based on user knowledge level, user specification of updates (e.g. email notifications), alerts based on country or species.
  • The ultimate goal is to make FAO’s existing information on fishery stocks more accessible and to provide adequate information to allow policy makers at national and international level to make informed decisions. This would require the creation of solutions to address the issue of exchange of information in a networked environment by using integrated, agreed-upon ontologies, which can be maintained and improved over-time. These ontologies in metadata models and knowledge organization will allow the creation of intelligent ontology-based multilingual systems for searching distributed and disaggregated information resources. Some of the functionalities the alert-system will provide are: a search environment, user customisation functionality based on user knowledge level, user specification of updates (e.g. email notifications), alerts based on country or species.
  • Transcript

    • 1. NeOn Project Lifecycle support for Ne tworked On tologies Seventh Agricultural Ontology Service Workshop Bangalore, India Gauri Salokhe { [email_address] }
    • 2. Roadmap
      • Background
      • NeOn goals and deliverables
      • The consortium and work packages
      • FAO’s contribution to the project
      • Fisheries case study
    • 3. Background (1/3)
      • The growing availability of information has shifted the attention
        • from closed, relatively data-poor applications,
        • to mechanisms and applications for searching , integrating and making use of the vast amounts of information that are now available.
      • Ontologies provide the semantic underpinning enabling intelligent access, integration, sharing and use of data
        • XML DTDs and XML Schemas are sufficient for exchanging data between parties who have previously agreed on definitions
          • but...
        • semantics are needed to achieve interoperability between numerous, independently developed and managed schemas.
    • 4. Background (2/3)
      • Strategic investment:
        • Gartner ranks taxonomies/ontologies 3rd in the list of the top 10 technologies to invest in.
      • => The challenge :
        • current methodologies and technologies are not adequate to support the whole application development lifecycle for new semantic applications.
    • 5. Background (3/3)
      • From “monolithic” to “networked” ontologies:
      • “ Semantic applications will rely on a network of contextualized ontologies, exhibiting local but not necessarily global consistency”.
      • Ontologies in the Semantic Web will be:
        • networked ,
        • dynamic ally changing ,
        • shared by many applications, and
        • strongly dependent on the context for which they have been developed or in which they are used.
    • 6. NeOn goals
      • The goals of NeOn are:
      • to support the development lifecycle of new generation of semantic applications;
      • to create a service-oriented open infrastructure , and associated methodology;
      • to extend the state of the art with cost-efficient solutions .
    • 7. NeOn deliverables
      • A generic reference architecture, to provide a framework for integrating ontology lifecycle components.
      • The NeOn toolkit , to provide the first instance of a new generation of ontology management tools.
      • The NeOn methodology, to provide the necessary framework to organize and manage the development of semantic applications à-la NeOn .
    • 8. The Consortium (1/2)
      • The NeOn project proposal was elaborated by the NeOn Consortium (FAO is a member).
      • It was submitted for funding to the European Commission’s 6th Framework, “ Information Society Technologies (IST)”.
      • The project obtained the best ranking on the Priority 2:
        • IST-2004-2.4.7 Semantic-based knowledge and content systems.
      • 10 Million Euro were granted by the EC for the 4-year project.
    • 9. The Consortium (2/2)
      • Academic and research:
        • Open University, Universitaet Karlsruhe, Universidad Politécnica de Madrid, University of Sheffield, Universitaet Koblenz-Landau;
        • Josef Stefan Institute (JSI), Institut National de Recherche en Informatique et en Automatique (INRIA) and Consiglio Nazionale delle Ricerche (CNR).
      • Small to medium enterprises:
        • Intelligent Software Components, S.A; Ontoprise GmbH.
      • Large industrial partners:
        • Software AG; Atos Origin, s.a.e.
      • International or non-profit organizations:
        • FAO and Asociación Española de Comercio Electrónico (AECE).
    • 10. Project work packages
    • 11. FAO’s contribution
      • Leads WP7: Ontology-driven fish stock depletion alert system ( Case study)
      • Participates in WP5: NeOn lifecycle methodology and WP10: Dissemination of NeOn outcomes
      • Provides input and feedback to WP1-4 (R&D) and WP6 (infrastructure and tools).
    • 12. WP7: Case study objectives
      • Major goal:
      • To increase accessibility and interoperability of fisheries large data & multilingual information sets
      • Objectives:
      • Create and maintain distributed ontologies in the fisheries domain;
      • Implement mechanisms for ontology learning, customized to the fishery domain;
      • Use fishery ontology modularization, maintenance and enrichment for a variety of sub-domains;
      • Exploit ontologies within web applications; and implement an alert system
    • 13. WP7: Case study objectives
      • Functionalities:
      • a search environment,
      • user customisation functionality based on user knowledge level,
      • user specification of updates (e.g. email notifications),
      • alerts based on country or species etc.
    • 14. WP7: Deliverables & Tasks Ontology requirements Alert system requirements FI Alert system WP5 – NeOn lifecycle methodology WP1- Dynamics Inventory of FI resources Alert system architecture WP6 – NeOn Infrastructure WP2 -Collaboration WP3 - Context WP4 - HCI Eval. & recom. for research Fisheries Ontologies Knowledge discovery, Text mining tools Alert system V1 Alert system v2 Eval. & recom. for research knowledge discovery tools Deliverables Tasks Fisheries ontologies use use integrate feed & maintain validity use Fisheries resources KOS (Agrovoc, classifications)
    • 15. Current situation in Fisheries
      • Good separation between data, metadata and reference data
          • but...
      • Systems are very proprietary
        • models inhibit exporting data structures
        • protocols make it difficult to share data
      • Reference Tables Management System is outdated
        • poor relationships across thematic domains
        • slow
        • clunky interface
        • difficult to update
    • 16. Advantages to NeOn for Fisheries
      • Replace Reference Tables Management System
        • latest technology
        • good management interface
        • establish relationships across domains
        • standardised data model
      • Fisheries Ontologies
        • modular
        • easier to expose reference data to others
        • standard protocols
        • possibility to interface with other ontologies
        • improved query system
    • 17. Potential data sources
      • Possible data sources for Fisheries ontologies
        • FIGIS Schemas
        • Reference Tables Management System
        • ASFA Thesaurus
        • Agrovoc
        • FAOLEX
        • OneFish Topic Hierarchy
        • Aquaculture glossary
        • Data mining on text corpus and XML files
      • Possible data sources for Fisheries Stock Depletion Alert System
        • FIDI Statistics
        • Statistics from national and regional fishery bodies databases
        • Assessments from national and regional fishery bodies
        • FIGIS factsheets
        • Fishbase
        • OneFish
        • GlobeFish
    • 18. Thank you for your attention
      • Additional information: http://www.neon-project.org /

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