This paper describes the convergence of some of the most influential technologies in the last
few years, namely data warehousing (DW), on-line analytical processing (OLAP), and the …

Recent years have seen an increasing interest in ontology-mediated query answering, in
which the semantic knowledge provided by an ontology is exploited when querying data …

Automatic knowledge graph (KG) construction is widely used in industry for data integration
and access, and there are several approaches to enable (semi-) automatic construction of …

With the increasing availability of Cooperative Intelligent Transport Systems, the Local
Dynamic Map (LDM) is becoming a key technology for integrating static, temporary, and …

Knowledge graphs (KG) are used in a wide range of applications. The automation of KG
generation is very desired due to the data volume and variety in industries. One important …

While the problem of answering positive existential queries, in particular, conjunctive
queries (CQs) and unions of CQs, over description logic ontologies has been studied …

Real-time analytics that requires integration and aggregation of heterogeneous and
distributed streaming and static data is a typical task in many industrial scenarios such as …

Incomplete and probabilistic database techniques are principled methods for coping with
uncertainty in data. Unfortunately, the class of queries that can be answered efficiently over …

Streaming analytics that requires integration and aggregation of heterogeneous and
distributed streaming and static data is a typical task in many industrial scenarios including …

Dealing with context-dependent knowledge has led to different formalizations of the notion
of context. Among them is the Contextualized Knowledge Repository (CKR) framework …