survey of neon project

INHA UNIVERSITYINHA UNIVERSITYINCHEON, KOREAINCHEON, KOREA

http://eslab.inha.ac.kr/

Survey of NeOn ProjectSurvey of NeOn Project

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- 2 -INHA UNIVERSITYINHA UNIVERSITYINCHEON, KOREAINCHEON, KOREA


OutlineOutline

NeOn ProjectNeOn Project

NeOn ToolkitNeOn Toolkit

A Workflow for the Networked Ontologies A Workflow for the Networked Ontologies LifecycleLifecycle

A Case Study in FAO of the UNA Case Study in FAO of the UN



Introduction and BackgroundIntroduction and Background NeOn is a project comprising 14 European partners co-

funded by the European Commission’s 6th Framework Programme with a starting date March 2006 and duration 4 years.

NeOn’s primary aim is to advance in using ontologies for large-scale semantic applications in the distributed organizations.

Methodologies and technologies from the days of closed and knowledge-poor systems have limitations wrt.1. Lifecycle support,2. Collaborative development of semantic applications,3. Web integration, and, 4. The cost-effective integration of heterogeneous components in

large applications.




Objectives of the ProjectObjectives of the Project Developing generic NeOn reference architecture whose

aim is to provide a standard, plug&play framework for integrating ontology life-cycle components,

Ensuring that the NeOn vision is concretely instantiated in a concrete implementation of the architecture, the NeOn ontology engineering toolkit, which will provide the first instance of a new generation of ontology management tools,

Capturing key engineering processes into a NeOn methodology will provide the necessary framework to organize and manage the development of semantic applications à-la NeOn.




OntoStudioOntoStudio

Ontology engineering platform of ontoprise.Ontology engineering platform of ontoprise. Front-end counterpart to OntoBroker (FLogic inference Front-end counterpart to OntoBroker (FLogic inference

machine).machine). Direct creation of rules.Direct creation of rules. Application of rules for the dynamic integration of Application of rules for the dynamic integration of

datasources.datasources. Import and export to OWL and RDF(S) is possible but Import and export to OWL and RDF(S) is possible but

restricted to statements which can be expressed in F-Logic.restricted to statements which can be expressed in F-Logic. OntoBroker currently is integrated with KAON2 to support OntoBroker currently is integrated with KAON2 to support

reasoning about both F-Logic rules as well as OWL-DL.reasoning about both F-Logic rules as well as OWL-DL.




ExtensibilityExtensibility

Based on Eclipse, NeOn toolkit provides an open Based on Eclipse, NeOn toolkit provides an open framework for plugin developers.framework for plugin developers.

““Everything is plugin.”Everything is plugin.” It already provides a number of plugins for: It already provides a number of plugins for:

Ontology Schema Modeling,Query Answering, Rule Modeling, Rule Debugging, Textual Flogic Editor, Ontology Mapping (by ontoprise)

Cicero: Argumentation WikiFactoryDeployer: Automatic ontology-based Wiki generation SAFE-Plugin: Semantic Annotation RaDON: Ontology debug and repair Text2Onto: Ontology Learning OntoModel: Editor, Visualization




ExtensibilityExtensibility

Modular and extensible platformModular and extensible platformExtensive rule supportExtensive rule support Integration capabilities for “non-semantic” Integration capabilities for “non-semantic”

technologytechnologyNot yet native OWL/DL supportNot yet native OWL/DL support (under (under

development by ontoprise)development by ontoprise)Not yet lifecycle supportNot yet lifecycle supportNot yet collaboration capabilitiesNot yet collaboration capabilities




Workflow for Networked Workflow for Networked Ontologies LifecycleOntologies Lifecycle

The Goal is to manage, in collaborative way, The Goal is to manage, in collaborative way, multiple networked ontologies for large-scale multiple networked ontologies for large-scale semantic applications.semantic applications.

User User Ontology engineers Subject experts

Roles Roles Subject experts Validators Viewers



Major ProcessMajor Process

Ontology conceptualizationOntology conceptualization Ontology populationOntology population Integration of conceptualization and population process Integration of conceptualization and population process

(until getting a stable version)(until getting a stable version) Ontology validation and update through editorial workflowOntology validation and update through editorial workflow Ontology publicationOntology publication

Workflow for Networked Ontology LifecycleWorkflow for Networked Ontology Lifecycle



Ontology populationOntology population




Editorial Workflow (1/4)Editorial Workflow (1/4)

Possible statusesPossible statuses Draft, To be approved, Approved, Published, To be

deleted





The Fish Stock Depletion Assessment System applying The Fish Stock Depletion Assessment System applying NeOn technologies and methodologies, with the goal of NeOn technologies and methodologies, with the goal of improving the management of the complexity of fishery improving the management of the complexity of fishery knowledge communities.knowledge communities.

The effective management of shared fish stocks is one of The effective management of shared fish stocks is one of the great challenges facing the way towards achieving the great challenges facing the way towards achieving

long-term sustainable fisheries.long-term sustainable fisheries. http://www.fao.org/aims/agrovoccs.jsp



Progress and resultsProgress and results DeliverablesDeliverables

D7.1.1: Specification of user requirements and detailed use cases for WP7 case study. September 2006.

D7.2.1: Inventory of fishery resources and information management systems. February 2007.

D7.2.2. Revised and enhanced Fisheries ontologies D7.4.1. Software architecture for managing the fishery

ontologies lifecycle D7.5.1. Software architecture for the ontology-based Fisheries

Stock Depletion Alert System (FSDAS) D7.3.1. Results from the experiments on ontology learning and

population applied to the Fisheries domain (including evaluation and recommendations). Due by October 2007.

D7.1.2. Revised specifications of user requirements and use cases. Due by December 2007.




Progress and resultsProgress and results

OntologiesOntologies




Progress and resultsProgress and results

OntologiesOntologies

Land areas ontology model Fishing areas ontology model Biological entities ontology model Fisheries commodities ontology model Vessels ontology model Gears ontology model Fisheries Fact sheets ontology without instances


survey of neon project

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