Abstract The Web of Data, and in particular Linked Data, has seen tremendous growth over
the past years. However, reuse and take-up of these rich data sources is often limited and …

Identity relations are at the foundation of the Semantic Web and the Linked Data Cloud. In
many instances the classical interpretation of identity is too strong for practical purposes …

In the current information-centric era, recommender systems are gaining momentum as tools
able to assist users in daily decision-making tasks. They may exploit users' past behavior …

Abstract The Linked Data paradigm builds upon the backbone of distributed knowledge
bases connected by typed links. The mere volume of current knowledge bases as well as …

A conditional key is a key constraint that is valid in only a part of the data. In this paper, we
show how such keys can be mined automatically on large knowledge bases (KBs). For this …

Establishing identity links across RDF datasets is a central and challenging task on the way
to realising the Data Web project. It is well-known that data supplied by different sources can …

Instance matching (IM) is the process of matching instances across Knowledge Bases (KBs)
that refer to the same real‐world object (eg, the same person in two different KBs). Several …

The paper proposes an RDF key ranking approach that attempts to close the gap between
automatic key discovery and data linking approaches and thus reduce the user effort in …

Automatic approaches to key discovery on RDF datasets generate sets of discriminative
properties that can be used to configure data linking systems relying on link specifications …

Keys for graphs uses the topology and value constraints needed to uniquely identify entities
in a graph database. They have been studied to support object identification, knowledge …