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 …

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 …

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 …

With the exponential growth of publicly available datasets, a scholarly recommendation
system of datasets would be an essential tool in the field of information filtering …

Open access to datasets is increasingly driving modern science. Consequently, discovering
such datasets is becoming an important functionality for scientists in many different fields …

Data published on the web following the principles of linked data has resulted in a global
data space called the Web of Data. These principles led to semantically interlink and …

Datasets published on the Web and following the Linked Open Data (LOD) practices have
the potential to enrich other LOD datasets in multiple domains. However, the lack of …

With the explosive growth of the Web of Data in terms of size and complexity, identifying
suitable datasets to be linked, has become a challenging problem for data publishers. To …

Due to the outstanding role of owl: sameAs as the most widely used linking predicate, the
problem of identifying potential Linked Data datasets for sameAs interlinking was studied in …

In order to be considered as Linked Data, the datasets on the web must be linked to other
datasets. Current studies on dataset interlinking prediction researches do not distinguish the …