Data federation addresses the problem of uniformly accessing multiple, possibly
heterogeneous data sources, by map** them into a unified schema, such as an RDF …

The biomedical data landscape is fragmented with several isolated, heterogeneous data
and knowledge sources, which use varying formats, syntaxes, schemas, and entity …

The Web of Data has grown enormously over the last years. Currently, it comprises a large
compendium of interlinked and distributed datasets from multiple domains. Running …

This open access book explores the dataspace paradigm as a best-effort approach to data
management within data ecosystems. It establishes the theoretical foundations and …

As smart environments move from a research vision to concrete manifestations in real-world
enabled by the Internet of Things, they are encountering a number of very practical …

Access to biomedical data is increasingly important to enable data driven science in the
research community. The Linked Open Data (LOD) principles (by Tim Berner-Lee) have …

Reusing ontologies and their terms is a principle and best practice that most ontology
development methodologies strongly encourage. Reuse comes with the promise to support …

Background Biomedical data, eg from knowledge bases and ontologies, is increasingly
made available following open linked data principles, at best as RDF triple data. This is a …

While Linked Data (LD) provides standards for publishing (RDF) and (SPARQL) querying
Knowledge Graphs (KGs) on the Web, serving, accessing and processing such open …

Abstract SeMi (SEmantic Modeling machIne) is a tool to semi-automatically build large-scale
Knowledge Graphs from structured sources such as CSV, JSON, and XML files. To achieve …