Designing Linked Data Applications
Berry Schoenmakers · Research Repository (Delft University of Technology) · 2010
A lot of (legacy) datasets can be combined with other datasets in order to increase their value. New technologies and ideas around the Semantic Web are evolving to make these enrichments possible. In recent years, the Linked Data principles have become the established standard for publishing data on the Semantic Web. With these techniques and principles it becomes possible to enrich a dataset using an interlinking between different datasets in the Linked Data cloud. However, transforming a dataset into a Linked Data dataset is a difficult process. This thesis proposes a way to perform this transformation and explains several required steps needed to be taken in order to succeed. It will discuss difficulties and experiences with entity resolution and evaluates an automatic interlinking approach with the purpose of connecting datasets and creating new opportunities with a (legacy) dataset. As an end result, this thesis will deliver a Linked Data application for the Software Technology publications dataset.