Below the overview of the CLARIAH publications. The are avialable as a downloadable PDF-document and as an overview per year.

Below the overview of the CLARIAH presentations. The are avialable as a downloadable PDF-document and as an overview per year.


This paper proposes (1) a general scheme for specifying interoperability; (2) tentative specific instantiations for two data types (text and audio) of the general interoperability scheme, as illustration of the general scheme; (3) a policy to be carried out by CLARIN ERIC to ensure continued efforts on interoperability, including specific incentives for individual researchers and CLARIN
national consortia.


PDF Towards Interoperability in CLARIN
group41 Jan Odijk


Building Web APIs on top of SPARQL endpoints is becoming a common practice to enable universal access to the integration favorable dataspace of Linked Data. However, the Linked Data community cannot expect users to learn SPARQL to query this dataspace, and Web APIs are the most extended way of enabling programmatic access to data on the Web. However, the implementation of Web APIs around Linked Data is often a tedious and repetitive process. Recent work speeds up this Linked Data API construction by wrapping it around SPARQL queries, which carry out the API functionality under the hood. Inspired by this, in this paper we present grlc, a lightweight server that translates SPARQL queries curated in GitHub repositories to Linked Data APIs on the fly.


PDF grlc Makes GitHub Taste Like Linked Data APIs
iconwww Salad2016: ESWC2016 workshop May 29th, 2016
group41 Albert Meroño-Peñuela and Rinke Hoekstra


More and more knowledge bases are publicly available as linked data. Since these knowledge bases contain structured descriptions of real-world entities, they can be exploited by entity linking systems that anchor entity mentions from text to the most relevant resources describing those entities. In this paper, we investigate adaptation of the entity linking task using contextual knowledge. The key intuition is that entity linking can be customized depending on the textual content, as well as on the application that would make use of the extracted information. We present an adaptive approach that relies on contextual knowledge from text to enhance the performance of ADEL, a hybrid linguistic and graph-based entity linking system. We evaluate our approach on a domain-specific corpus consisting of annotated WikiNews articles.


PDF Context-enhanced Adaptive Entity Linking.
iconwww Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016). Portoroz, Slovenia. 23-28 May 2016.
group41 Filip Ilievski, Giuseppe Rizzo, Marieke van Erp, Julien Plu and Raphael Troncy