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NeOn Project Lifecycle support for Ne tworked On tologies. 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

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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

{gauri.salokhe@fao.org}

roadmap
Roadmap
  • 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

but...

    • 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

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 objectives1
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
WP7: Deliverables & Tasks

Fisheries

resources

KOS (Agrovoc,

classifications)

use

Deliverables

Fisheries

Ontologies

integrate

FI Alert system

use

Knowledge discovery,

Text mining

tools

use

feed & maintain validity

knowledge

discovery tools

Inventory of FI resources

Tasks

Alert system V1

Alert system v2

Fisheries ontologies

Alert system

architecture

Ontology

requirements

Alert system

requirements

Eval. & recom.

for research

Eval. & recom.

for research

WP5 – NeOn lifecycle methodology

WP1- Dynamics

WP2 -Collaboration

WP3 - Context

WP4 - HCI

WP6 – NeOn Infrastructure

current situation in fisheries
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
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: http://www.neon-project.org/