Linked Research articles
In the spirit of Linked Research, I try to write the occasional article in HTML and self-publish it on the Web. The articles below were accepted for presentation on workshops after peer review. Your feedback on them is welcome. Also see my full publication list.
Workshop on Linked Data on the Web, 2017
Publishing research on the Web accompanied by machine-readable data is one of the aims of Linked Research. Merely embedding metadata as RDFa in HTML research articles, however, does not solve the problems of accessing and querying that data. Hence, I created a simple ETL pipeline to extract and enrich Linked Data from my personal website, publishing the result in a queryable way through Triple Pattern Fragments. The pipeline is open source, uses existing ontologies, and can be adapted to other websites. In this article, I discuss this pipeline, the resulting data for my website, and its possibilities for query evaluation on the Web. More than 35,000 RDF triples of my data are queryable, even with federated SPARQL queries because of links to external datasets. This proves that researchers do not need to depend on centralized repositories for readily accessible (meta-)data, but instead can—and should—take matters into their own hands.
Workshop on Smart Descriptions & Smarter Vocabularies, 2016
Information resources can be expressed in different representations along many dimensions such as format, language, and time. Through content negotiation, HTTP clients and servers can agree on which representation is most appropriate for a given piece of data. For instance, interactive clients typically indicate they prefer HTML, whereas automated clients would ask for JSON or RDF. However, labels such as “JSON” and “RDF” are insufficient to negotiate between the rich variety of possibilities offered by today’s languages and data models. This position paper argues that, despite widespread misuse, content negotiation remains the way forward. However, we need to extend it with more granular options in order to serve different current and future Web clients sustainably.