Natural language processing (NLP) is an area of artificial intelligence that applies
information technologies to process the human language, understand it to a certain degree …

Abstract The Semanticscience Integrated Ontology (SIO) is an ontology to facilitate
biomedical knowledge discovery. SIO features a simple upper level comprised of essential …

The application of semantic technologies to the integration of biological data and the
interoperability of bioinformatics analysis and visualization tools has been the common …

Background Provenance is a critical ingredient for establishing trust of published scientific
content. This is true whether we are considering a data set, a computational workflow, a peer …

The lack of established standards to describe and annotate biological assays and screening
outcomes in the domain of drug and chemical probe discovery is a severe limitation to utilize …

Bio2RDF is an open source project to generate and provide Linked Data for the Life
Sciences. Here, we report on a third coordinated release of~ 11 billion triples across 30 …

For a long time, databases such as CAS, Reaxys, PubChem or ChemSpider mostly rely on
unique numerical identifiers or chemical structure identifiers like InChI, SMILES or others to …

Background Reporting and sharing experimental metadata-such as the experimental
design, characteristics of the samples, and procedures applied, along with the analysis …

The evaluation of Datalog rules over large Knowledge Graphs (KGs) is essential for many
applications. In this paper, we present a new method of materializing Datalog inferences …

Background The ability to query many independent biological databases using a common
ontology-based semantic model would facilitate deeper integration and more effective …