In the last few years a new research area, called stream reasoning, emerged to bridge the
gap between reasoning and stream processing. While current reasoning approaches are …

Streams of events appear increasingly today in various Web applications such as blogs,
feeds, sensor data streams, geospatial information, on-line financial data, etc. Event …

Over the years, a large amount of temporal data needs to be shared and exchanged on the
Web. Resource Description Framework (RDF) has been widely accepted and has rapidly …

This article presents a technique for Stream Reasoning, consisting in incremental
maintenance of materializations of ontological entailments in the presence of streaming …

A combined approach of deductive and inductive reasoning can leverage the clear
separation between the evolving (streaming) and static parts of online knowledge at …

Stream Data processing has become a popular topic in database research addressing the
challenge of efficiently answering queries over continuous data streams. Meanwhile data …

With the explosive growth of temporal data, how to query and manage temporal data has
become an important research issue. Resource description framework (RDF), as the …

The Internet serves not only as a platform for communication, transactions, and cloud
storage, but also as a vast knowledge store where both people and machines can create …

This paper discusses the use of stream reasoning models and techniques to provide a
stream reasoning-based architecture to represent, manage and process data streams …

An increasing amount of data is published and consumed on the Web according to the
Linked Data paradigm. In consideration of both publishers and consumers, the temporal …