A large number of published datasets (or sources) that follow Linked Data principles is
currently available and this number grows rapidly. However, the major target of Linked Data …

Linked Data principles and technologies are being investigated in various areas. In the
Educational context, many studies are using Linked Data trying to solve problems of …

RDF Knowledge Graphs (or Datasets) contain valuable information that can be exploited for
a variety of real-world tasks. However, due to the enormous size of the available RDF …

Impoverished descriptions and convoluted schema labels are common challenges in data-
centric tasks such as schema matching and data linking, especially when datasets can span …

With the growing quantity and diversity of publicly available web datasets, most notably
Linked Open Data, recommending datasets, which meet specific criteria, has become an …

Geospatial data constitutes a considerable part of Semantic Web data, but so far, its sources
are inadequately interlinked in the Linked Open Data cloud. Geospatial Interlinking aims to …

Today, open data catalogs enable users to search for datasets with full-text queries in
metadata records combined with simple faceted filtering. Using this combination, a user is …

The increasing availability of linked data poses new challenges for the identification and
retrieval of the most appropriate data sources that meet user needs. Recent dataset catalogs …

The Web today has millions of datasets, and the number of datasets continues to grow at a
rapid pace. These datasets are not standalone entities; rather, they are intricately connected …

Purpose Semantic retrieval and discovery of datasets published as open data remains a
challenging task. The datasets inherently originate in the globally distributed web jungle …