In link prediction evaluation, an embedding model assigns plausibility scores to unseen
triples in a knowledge graph using an input partial triple. Performance metrics like mean …

Knowledge graphs (KGs) are essential resources for many applications including Web
search and question answering. As KGs are often automatically constructed, they may …

A new vision in semantic big data processing is to create enterprise data hubs, with a 360°
view on all data that matters to a corporation. As we discuss in this paper, a new generation …

Dealing with noisy data is one of the big issues in stream processing. While noise has been
widely studied in settings where streams have simple schemas, eg time series, few solutions …

Abstract Evolution of Knowledge Bases (KBs) consists of incorporating new information in
an existing KB. Previous studies assume that the new information should be fully trusted and …

When semantic big data is managed in commercial settings, with time, the need may arise to
integrate and interlink records from various data sources. In this vision paper, we discuss the …

Information and communications technology (ICT) is used extensively to better manage the
city resources and improve the quality of life of its citizens. ICT spans many departments of …

Logic-based knowledge representation formalisms, such as Description Logics, constitute
the basis of well-known ontology languages, eg, the Web Ontology Language, and, thus, are …

Tableau-based reasoning systems are primarily used for reasoning with knowledge bases
that are based on very expressive Description Logics such as SROIQ since they enable a …

The digitalization of our society creates a large number of data streams, such as stock
tickers, tweets, and sensor data. Making use of these streams has tremendous values. In the …