neon project lifecycle support for networked ontologies seventh agricultural ontology service...

NeOnNeOn Project Project

Lifecycle support for Lifecycle support for NeNetworked tworked OnOntologiestologies

Seventh Agricultural Ontology Service Workshop

Bangalore, India

Gauri Salokhe

{[email protected]}

mailto:[email protected]

IST-2005-027595NeOn-project.org

RoadmapRoadmap

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 searchingsearching, integratingintegrating and

making use of the vast amounts of information that are now available.

Ontologies provide the semanticsemantic 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.



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 lifecycleapplication development lifecycle for new semantic applications.



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 goalsNeOn 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 deliverablesNeOn 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 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).


Project work packagesProject work packages


FAO’s contributionFAO’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 objectives 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 & TasksWP7: Deliverables & Tasks

Ontology requirements

Alert systemrequirements

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 resources

FisheriesOntologies

KOS (Agrovoc,classifications)

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 validityuse


Current situation in FisheriesCurrent 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 FisheriesAdvantages 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 sourcesPotential 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 attentionThank you for your attention

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

neon project lifecycle support for networked ontologies seventh agricultural ontology service...

Documents