In this work, we develop a Graph Neural Network (GNN) framework for the problem of
personalized visualization recommendation. The GNN-based framework first represents the …

Purpose With an explosion of datasets available on the Web, dataset search has gained
attention as an emerging research domain. Understanding users' dataset behaviour is …

Dataset search, or more specifically, ad hoc dataset retrieval which is a trending specialized
IR task, has received increasing attention in both academia and industry. While methods …

For reusing an RDF dataset, understanding its content is a prerequisite. To support the
comprehension of its large and complex structure, existing methods mainly generate an …

Reusing published datasets on the Web is of great interest to researchers and developers.
Their data needs may be met by submitting queries to a dataset search engine to retrieve …

The large volume of open data on the Web is expected to be reused and create value.
Finding the right data to reuse is a non-trivial task addressed by the recent dataset search …

Ad hoc dataset retrieval is a trending topic in IR research. Methods and systems are evolving
from metadata-based to content-based ones which exploit the data itself for improving …

Recently, chatbots received an increased attention from industry and diverse research
communities as a dialogue-based interface providing advanced human-computer …

In this paper, we investigate the retrievability of datasets and publications in a real-life Digital
Library (DL). The measure of retrievability was originally developed to quantify the influence …

Retrievability measures the influence a retrieval system has on the access to information in a
given collection of items. This measure can help in making an evaluation of the search …