Linking data by finding matching instances in different datasets requires considering many
characteristics, such as structural heterogeneity, implicit knowledge, and URI (Uniform …

To reduce the complexity intrinsic to LD manipulation, software tools are used to publish or
consume data associated to LD activities. However, few developers have a broad …

The goal of this survey is to present the state of the art instance matching benchmarks for
Linked Data. We introduce the principles of benchmark design for instance matching …

Entity-centric information resources in the form of huge RDF knowledge graphs have
become an important part of today's information systems. But while the integration of …

The problem of interlinking datasets in, and with the Linked Open Data cloud has been one
of major challenges and an important research subject in the Semantic Web. The interlinking …

Today Linked Open Data is a central trend in information provisioning. Data is collected in
distributed data stores, individually curated with high quality, and made available over the …

Abstract Knowledge graphs are repositories providing factual knowledge about entities.
They are a great source of knowledge to support modern AI applications for Web search …

To reduce the complexity intrinsic to LD manipulation, software tools are used to publish or
consume data associated to LD activities. However, few developers have a broad …

More than 50% of all Web queries are entity related. Users search either for entities or for
entity information. Still, search engines do not accommodate entity-centric search very well …

With the advent of Web 2.0 and the behavior change which it brought, there are millions of
users worldwide contributing to different databases with various forms of data, such as …