Stream reasoning studies the application of inference techniques to data characterised by
being highly dynamic. It can find application in several settings, from Smart Cities to Industry …

We address the problem of dealing with inconsistencies in Description Logic (DL)
knowledge bases. Our general goal is both to study DL semantical frameworks which are …

Ontology-based data access (OBDA) is receiving great attention as a new paradigm for
managing information systems through semantic technologies. According to this paradigm, a …

The combination of sensor networks with the Web, web services and database technologies,
was named some years ago as the Sensor Web or the Sensor Internet. Most efforts in this …

Interlinking knowledge sources to enable information exchange is basic means to build
enriched knowledge-based systems, which gains importance with the spread of the Internet …

Ontology-mediated query answering (OMQA) is a new paradigm in data management that
seeks to exploit the semantic knowledge expressed in ontologies to improve query …

Ontology-mediated query answering (OMQA) emerged as a paradigm to enhance querying
of data sources with an ontology that encodes background knowledge. In applications …

Non-standard query mechanisms that work under inconsistency are required in some
important description logic (DL)-based applications, including those involving an …

Measuring Inconsistency in ontologies is an important topic in ontology engineering as it can
provide extra information for dealing with inconsistency. Many approaches have been …

Consistent query answering (CQA) is a widely accepted paradigm for querying inconsistent
knowledge bases (KBs). A consistent answer to a query is a tuple that is an answer to the …