Knowledge Graphs (KGs) are a popular means to represent knowledge on the Web,
typically in the form of node/edge labelled directed graphs. We consider temporal KGs, in …

The development and standardization of Semantic Web technologies has resulted in an
unprecedented volume of data being published on the Web as Linked Data (LD). However …

Over the years, a large amount of temporal data needs to be shared and exchanged on the
Web. Resource Description Framework (RDF) has been widely accepted and has rapidly …

One of the key requirements to facilitate the semantic analytics of information regarding
contemporary and historical events on the Web, in the news and in social media is the …

Acknowledging the dynamic nature of knowledge graphs, the problem of learning temporal
knowledge graph embeddings has recently gained attention. Essentially, the goal is to learn …

The integration of meta-knowledge on the Web of data is essential to support
trustworthiness. This is in fact an issue because of the enormous amount of data that exists …

The Internet serves not only as a platform for communication, transactions, and cloud
storage, but also as a vast knowledge store where both people and machines can create …

Intuitively, most datasets found on governmental Open Data portals are organized by spatio-
temporal criteria, that is, single datasets provide data for a certain region, valid for a certain …

Here, we describe the CEDAR dataset, a five-star Linked Open Data representation of the
Dutch historical censuses. These were conducted in the Netherlands once every 10 years …

Some facts in the Web of Data are only valid within a certain time interval. However, most of
the knowledge bases available on the Web of Data do not provide temporal information …