Semantic Modelling of Interactive 3D Content with Domain-specific Ontologies

AbstractThe creation of interactive 3D presentations is typically a complex process involving activities related to various aspects of the content such as geometry, structure, space, appearance, logic and behaviour. However, widespread dissemination of interactive 3D content on the web requires flexible and efficient methods of content creation. In this paper, an approach to semantic modelling of 3D content is proposed. The proposed solution enables creation of content components and properties - reflecting different aspects of the content - with domain-specific ontologies and knowledge bases. The use of domain-specific knowledge liberates authors from going into details that are specific to 3D modelling, allows for content representation at different levels of abstraction and permits content creation by domain experts, who are not required to be IT-professionals

A Quantitative Analysis of the Use of Microdata for Semantic Annotations on Educational Resources

A current trend in the semantic web is the use of embedded markup formats aimed to semantically enrich web content by making it more understandable to search engines and other applications. The deployment of Microdata as a markup format has increased thanks to the widespread of a controlled vocabulary provided by Schema.org. Recently, a set of properties from the Learning Resource Metadata Initiative (LRMI) specification, which describes educational resources, was adopted by Schema.org. These properties, in addition to those related to accessibility and the license of resources included in Schema.org, would enable search engines to provide more relevant results in searching for educational resources for all users, including users with disabilities. In order to obtain a reliable evaluation of the use of Microdata properties related to the LRMI specification, accessibility, and the license of resources, this research conducted a quantitative analysis of the deployment of these properties in large-scale web corpora covering two consecutive years. The corpora contain hundreds of millions of web pages. The results further our understanding of this deployment in addition to highlighting the pending issues and challenges concerning the use of such properties