A typical index at the end of a textbook contains a manually-provided vocabulary of terms
related to the content of the textbook. In this paper, we extend our previous work on …

Most current visualizations for Linked Open Data are created for a single purpose or a single
dataset. These ad hoc approaches can hardly exploit the linkedness of LOD, and we miss …

Abstract The Open Access movement and the research management can take a new turn if
the research information is published as Linked Open Data. With Linked Open Data, the …

Semantically annotating and interlinking Open Data results in Linked Open Data which
concisely and unambiguously describes a knowledge domain. However, the uptake of the …

The availability of encyclopedic Linked Open Data (LOD) paves the way to a new generation
of knowledge-intensive applications able to exploit the information encoded in the …

A knowledge base stores descriptions of entities and their relationships, often in the form of
a very large RDF graph, such as DBpedia or Wikidata. The entity relatedness problem refers …

Isaac Alpizar-Chacon is an assistant professor in the Software Technology for Learning and
Teaching group at the Department of Information and Computing Sciences, Utrecht …

When researchers formulate search queries to find relevant content on the Web, those
queries typically consist of keywords that can only be matched in the content or its metadata …

Abstract DaCENA (Data Context for News Articles) is a web application that showcases a
new approach to reading online news articles with the support of a data context built from …

Accidental knowledge discoveries occur most frequently during capricious and unplanned
search and browsing of data. This type of undirected, random, and exploratory search and …