NeOn Project Lifecycle support for Networked Ontologies Seventh Agricultural Ontology Service Workshop



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NeOn Project Lifecycle support for Networked Ontologies

  • Seventh Agricultural Ontology Service Workshop

  • Bangalore, India

  • Gauri Salokhe

  • {gauri.salokhe@fao.org}


Roadmap

  • Background

  • NeOn goals and deliverables

  • The consortium and work packages

  • FAO’s contribution to the project

  • Fisheries case study



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.


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.


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,
    • dynamically changing,
    • shared by many applications, and
    • strongly dependent on the context for which they have been developed or in which they are used.


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.



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.



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.



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).


Project work packages



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).



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



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.



WP7: Deliverables & Tasks



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


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


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


Thank you for your attention

  • Additional information: http://www.neon-project.org/



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