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 …

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

In this paper we analyse the sensitivity of twelve prototypical Linked Data index models
towards evolving data. Thus, we consider the reliability and accuracy of results obtained …

The Linked Open Data (LOD) cloud changes frequently. Recent approaches focus mainly on
quantifying the changes that occur in the LOD cloud by comparing two snapshots of a linked …

Abstract Quite often, Linked Open Data (LOD) applications pre-fetch data from the Web and
store local copies of it in a cache for faster access at runtime. Yet, recent investigations have …

Abstract Knowledge bases are nowadays essential components for any task that requires
automation with some degrees of intelligence. Assessing the quality of a knowledge base is …

Shared vocabularies facilitate data integration and application interoperability on the
Semantic Web. An investigation of how vocabularies are practically used in open RDF data …

Given historical versions of an RDF graph, we propose and compare several methods to
predict whether or not the results of a SPARQL query will change for the next version …

The Linked Open Data (LOD) cloud is expanding continuously. Entities appear, change, and
disappear over time. However, relatively little is known about the dynamics of the entities, ie …

Vocabularies are used for modeling data in Knowledge Graphs (KGs) like the Linked Open
Data Cloud and Wikidata. During their lifetime, vocabularies are subject to changes. New …