NeOn (Lifecycle of Networked Ontologies)
NeOn is a 4-year EU-FP6 project co-funded by the "Content and Knowledge" Unit and involves 14 European partners. The project aims at creating the first ever service-oriented, open infrastructure, and associated methodology, to support the overall development life-cycle of a new generation of large scale, complex, semantic applications, with the overall goal of extending the state of the art to ensure that economically viable solutions can appear on the market. These solutions will enable efficient implementations of semantic applications, in open environments such as the Semantic Web, in support of the automation of Business to Business relationships, and also in company intranets. NeOn supports this overall strategic goal by:
- Developing a generic NeOn reference architecture which aims to provide a standard, plug and 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 provides the first instance of a new generation of ontology management tools;
- Capturing key engineering processes into a NeOn methodology that provides the necessary framework to organize and manage the development of semantic applications à-la NeOn.
The collaboration with the NeOn project is facilitated by the involvement of FAO in this project. The NeOn project is a mixture of application development, advancement of new theoretical models, creation of methodological processes, and case study building. D4Science plans to use the ontologies developed by FAO in the NeON project within the Fisheries Virtual Research Environments (VRE). These ontologies can be used to structure, relate, index and locate data. Ontologies can be used as concept lists for annotating resources in VREs with appropriate keywords. As these keywords are structured in ontologies, they can be used to improve search results by suggesting related resources or categories. The ontologies can also function as browsing mechanisms, enabling users to see the resources that are annotated with the ontological concepts. Moving beyond mere annotation, ontologies can be used as the structural backbone for VRE information objects themselves, defining objects and their relationships to one another, thus greatly enriching the D4Science object model.
Submitted by SiteAdminUser on Wed, 19/11/2008 - 17:44






