neon project lifecycle support for ne tworked on tologies n.
Skip this Video
Loading SlideShow in 5 Seconds..
NeOn Project Lifecycle support for Ne tworked On tologies PowerPoint Presentation
Download Presentation
NeOn Project Lifecycle support for Ne tworked On tologies

Loading in 2 Seconds...

play fullscreen
1 / 18

NeOn Project Lifecycle support for Ne tworked On tologies - PowerPoint PPT Presentation

  • Uploaded on

NeOn Project Lifecycle support for Ne tworked On tologies. Seventh Agricultural Ontology Service Workshop Bangalore, India Gauri Salokhe { }. Roadmap. Background NeOn goals and deliverables The consortium and work packages FAO’s contribution to the project

I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
Download Presentation

PowerPoint Slideshow about 'NeOn Project Lifecycle support for Ne tworked On tologies' - burian

An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.

- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
neon project lifecycle support for ne tworked on tologies

NeOn Project Lifecycle support for Networked Ontologies

Seventh Agricultural Ontology Service Workshop

Bangalore, India

Gauri Salokhe


  • Background
  • NeOn goals and deliverables
  • The consortium and work packages
  • FAO’s contribution to the project
  • Fisheries case study
background 1 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


    • semantics are needed to achieve interoperability between numerous, independently developed and managed schemas.
background 2 3
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
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
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
NeOn deliverables
  • A genericreference 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 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
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).
fao s contribution
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
WP7: Case study objectives

Major goal:

  • To increase accessibility and interoperability of fisheries large data & multilingual information sets


  • 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 objectives1
WP7: Case study objectives


  • 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
WP7: Deliverables & Tasks



KOS (Agrovoc,







FI Alert system


Knowledge discovery,

Text mining



feed & maintain validity


discovery tools

Inventory of FI resources


Alert system V1

Alert system v2

Fisheries ontologies

Alert system




Alert system


Eval. & recom.

for research

Eval. & recom.

for research

WP5 – NeOn lifecycle methodology

WP1- Dynamics

WP2 -Collaboration

WP3 - Context


WP6 – NeOn Infrastructure

current situation in fisheries
Current situation in Fisheries
  • Good separation between data, metadata and reference data


  • 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
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
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
Thank you for your attention
  • Additional information: