Mapping the TORCH Ontology to Schema.org
Matteo Antoniazzi · NORA - Norwegian Open Research Archives · 2015
Schema.org is an ontology supported by the biggest search engines, which allows to add structured semantic markup to the HTML of web pages. This kind of markup is fairly easy to implement and has become popular among web developers. It is also becoming more and more important for the strategies of search engines and some organizations are starting to use it to expose large sets of data. Schema.org can be considered as a component of the Semantic Web, which is an extension of the Web, where ontologies, interoperability, and linked open data are important concepts. Together with established data standards, they allow machines to be able to understand the semantics, i.e. the meaning, of data. The wish to explore ontologies through an experimental project was the main motivations of this thesis. The experiment is a mapping of the TORCH ontology to Schema.org that has been evaluated with a small use case in order to test if the mapping could be applied to the markup of a web page made with Schema.org. The purpose is to provide a useful preparatory study for the TORCH project, currently in progress at Oslo and Akershus University College of Applied Sciences, and involving transformation of metadata into Linked Data and extraction and mapping of cultural heritage data.