Over the past years, there has been a resurgence of Datalog-based systems in the database
community as well as in industry. In this context, it has been recognized that to handle the …

After entering the big data era, a new term ofbig knowledge'has been coined to deal with
challenges in mining a mass of knowledge from big data. While researchers used to explore …

With the explosive growth of multi-modal information on the Internet, the multi-modal
knowledge graph (MMKG) has become an important research topic in knowledge graphs to …

Over two decades, context awareness has been incorporated into recommender systems in
order to provide, not only the top-rated items to consumers but also the ones that are …

The introduction of novel Datalog+/-fragments with good theoretical properties, together with
the growing use of enterprise knowledge graphs motivated the development of Vadalog, a …

Adopting a mature AI strategy is fundamental for modern knowledge companies to govern
the proliferation of smart AI-driven applications and to coordinate them within coherent …

The ever-growing usage of knowledge graphs (KGs) positions named entity disambiguation
(NED) at the heart of designing accurate KG-driven systems such as query answering …

Abstract Knowledge graphs (KGs) have in recent years gained a large momentum both in
academic research and in business applications. They have become a bridge between …

Motivated by our experience in building the Enterprise Knowledge Graph of Italian
companies for the Central Bank of Italy, in this paper we present an in-depth case analysis of …

Following the recent successful examples of large technology companies, many modern
enterprises seek to build Knowledge Graphs to provide a unified view of corporate …