The central idea of Linked Data is that data publishers support applications in discovering
and integrating data by complying to a set of best practices in the areas of linking …

We present SchemEX, an approach and tool for a stream-based indexing and schema
extraction of Linked Open Data (LOD) at web-scale. The schema index provided by …

Openly available, collaboratively edited Knowledge Graphs (KGs) are key platforms for the
collective management of evolving knowledge. The present work aims to provide an …

The Web is rapidly transforming from a pure document collection to the largest connected
public data space. Semantic annotations of web pages make it notably easier to extract and …

Access to hundreds of knowledge bases has been made available on the Web through
public SPARQL endpoints. Unfortunately, few endpoints publish descriptions of their content …

Several institutions collect statistical data about cities, regions, and countries for various
purposes. Yet, while access to high quality and recent such data is both crucial for decision …

The Web of Linked Data is a huge graph of distributed and interlinked datasources fueled by
structured information. This new environment calls for formal languages and tools to …

The Open Data movement triggered an unprecedented amount of data published in a wide
range of domains. Governments and corporations around the world are encouraged to …

The massive semantic data sources linked in the Web of Data give new meaning to old
features like navigation; introduce new challenges like semantic specification of Web …

Six datasets have been published under the title of Billion Triple Challenge (BTC) since
2008. Each such dataset contains billions of triples extracted from millions of documents …