Digital twins (DTs) are a powerful mechanism for representing complex industrial assets
such as oil platforms as digital models. These models can facilitate temporal analyses and …

Aerospace manufacturing companies, such as Thales Alenia Space, design, develop,
integrate, verify, and validate products characterized by high complexity and low volume …

Abstract An Industrial Internet of Things (IoT) is a network of intelligent industrial equipment
such as trains and power generating turbines that collect and share large amounts of data …

Industrial rule-based diagnostic systems are often data-dependant in the sense that they rely
on specific characteristics of individual pieces of equipment. This dependence poses …

The competitiveness of modern enterprises heavily depends on their ability to make the right
business decisions by relying on efficient and timely analysis of the right business critical …

Abstract Knowledge bases (KBs) are not static entities: new information constantly appears
and some of the previous knowledge becomes obsolete. In order to reflect this evolution of …

In the database community Polystores is an emerging and promising approach for data
federation that aims at designing a unified querying layer over multiple data models. In the …

Query Understanding is a semantic search method that can classify tokens in a customer's
search query to entities such as Product, Brand, etc. This method can overcome the …

The Web contains an enormous amount of information, which is managed to accumulate,
researched, and regularly used by many users. The nature of the Web is multilingual and …

Extracting attribute-value information from unstructured product descriptions continue to be
of a vital importance in e-commerce applications. One of the most important product …