Motivation Scientists increasingly rely on intelligent information systems to help them in their
daily tasks, in particular for managing research objects, like publications or datasets. The …

Results We developed a novel approach, ScholarLens, which can automatically generate
semantic user profiles for authors of scholarly literature. For modeling the competences of …

Semantic publishing generally targets the enhancement of scientific artifacts, such as
articles and datasets, with semantic metadata. However, smarter scholarly applications also …

Abstract Linked Open Datasets about scholarly publications enable the development and
integration of sophisticated end-user services; however, richer datasets are still needed. The …

We present a workflow for the automatic transformation of scholarly literature to a Linked
Open Data (LOD) compliant knowledge base to address Task 2 of the Semantic Publishing …

Motivation. Finding relevant scientific literature is one of the essential tasks researchers are
facing on a daily basis. Digital libraries and web information retrieval techniques provide …

Recent efforts have focused on identifying multidisciplinary teams and detecting co-
Authorship Networks based on exploring topic modeling to identify researchers' expertise …

A significant portion of biomedical literature is represented in a manner that makes it difficult
for consumers to find or aggregate content through a computational query. One approach to …

One of the main challenges for biomedical research lies in the integrative study of large and
increasingly complex combinations of data in order to understand molecular mechanisms …

Resources for research are not always easy to explore, and rarely come with strong support
for identifying, linking and selecting those that can be of interest to scholars. In this work we …