Data stream learning has been largely studied for extracting knowledge structures from
continuous and rapid data records. As data is evolving on a temporal basis, its underlying …

Proactive monitoring and control of our natural and built environments is important in various
application scenarios. Semantic Sensor Web technologies have been well researched and …

SQL: 2011, the most recently adopted version of the SQL query language, has
unprecedentedly standardized the representation of temporal data in relational databases …

Due to the dynamic nature of knowledge and data in semantic applications, ontology
incremental reasoning technologies are essential for ontology management systems …

Ontologies play an important role as a semantic layer for data access in various areas such
as the Semantic Web, medicine, and enterprise applications. They capture the terminology …

Ontology-based query answering (OBQA) augments classical query answering in databases
by domain knowledge encoded in an ontology. Systems for OBQA use the ontological …

Temporal query abduction is the problem of hypothesizing a minimal set of temporal data
which, given some fixed background knowledge, warrants the entailment of the query. This …

Observing and monitoring of the natural and built environments is crucial for maintaining
and preserving human life. Environmental monitoring applications typically incorporate …