One of the most critical tasks for improving data quality and increasing the reliability of data
analytics is Entity Resolution (ER), which aims to identify different descriptions that refer to …

This article reviews deep learning methods for medical imaging (focusing on image
reconstruction, segmentation, registration, and radiomics) and radiotherapy (ranging from …

One of the most important tasks for improving data quality and the reliability of data analytics
results is Entity Resolution (ER). ER aims to identify different descriptions that refer to the …

Natural Language Interface to Database (NLIDB) eliminates the need for an end user to use
complex query languages like SQL by translating the input natural language statements to …

Moving towards the digitization and cashless economy tests the existing IT infrastructure for
security and fraud controls substantially. Transition from traditional to cashless economy …

Recent advances in semantic web have shown how entity related searches have benefited
from entity-based knowledge graphs. However, much of the commonsense knowledge …

Valuable high-precision data are often published in the form of tables in both scientific and
business documents. While humans can easily identify, interpret and contextualize tables …

Big Data today is being generated at an unprecedented rate from various sources such as
sensors, applications, and devices, and it often needs to be enriched based on other …

Enterprises create domain-specific knowledge bases (KBs) by curating and integrating their
business data from multiple sources. To support a variety of query types over domain …

Abstract Domain ontologies are significant structured and semantic resources for information
systems. Therefore, they are proposed and used in many application domains including …