Ontology Engineering and Plug-in Development with the NeOn Toolkit - Introduction
Slides
Related content
Report a problem or upload files
If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Description
Our tutorial targets ontology modelers and engineers. The tutorial provides guidance for the development of ontologies and ontology-based applications with respect to the complete ontology lifecycle.
We will start with an introduction to a variety of use cases for applications of ontologies, including information integration and knowledge management. Based on these use cases we will illustrate a typical ontology lifecycle and discuss specific ontology lifecycle activities, such as ontology development, selection and reuse, ontology mapping, and ontology evolution. After a short introduction to the NeOn toolkit and its functionalities, we will take a closer look at how the lifecycle activities are realized using the NeOn toolkit. As an example, we will demonstrate how to support ontology selection and reuse with a plug-in that integrates with the Watson Semantic Web gateway. In the hands-on exercises, the participants will work on practical activities from a real world use case.
In the second half of the tutorial, we will demonstrate how to extend the functionalities of the ontology engineering environment by developing a NeOn plug-in to support an additional lifecycle activity from the initial use case. Therefore, we first provide further insights into the NeOn reference architecture, its plug-in concept and APIs. We will then demonstrate how to develop a plug-in in an easy-to-follow step-by-step way. After that, the participants will create their own working plug-in in a hands-on exercise.
Link this page
Would you like to put a link to this lecture on your homepage?Go ahead! Copy the HTML snippet !
Reviews and comments:
Very good!
Thank you very munch!
Write your own review or comment: