Multiple industries have been revolutionized by the incorporation of data science
advancements into intelligent environment technologies, specifically in the context of smart …

In this era of information where everything is digital, data tends to be ubiquitous. Data
Analytics is a term that covers all the areas that deal with the logical analysis of raw data …

Real-world data obtained from integrating heterogeneous data sources are often multi-
valued, uncertain, imprecise, error-prone, outdated, and have different degrees of accuracy …

Mini-Mental State Examination (MMSE) is used as a diagnostic test for dementia to screen a
patient's cognitive assessment and disease severity. However, these examinations are often …

Abstract Big Data Integration (BDI) process integrates the big data arising from many diverse
data sources, data formats presents a unified, valuable, customized, holistic view of data …

Bio2RDF is one of the most popular projects that integrates and publishes biomedical
datasets as Linked Data. The community has actively contributed to the generation of these …

Data availability is becoming more essential, considering the current growth of web-based
data. The data available on the web are represented as unstructured, semi-structured, or …

Contrary to data, knowledge is often abstract. Concrete knowledge can be achieved through
the inclusion of semantics in the data models, highlighting the role of data integration. The …

Data integration is the process of selecting, preprocessing, and transforming data from
heterogeneous sources in data-driven projects. This process also requires the most time …

Due to the enormous growth of information technology, a huge amount of big data is
produced daily, wherein heterogeneity is considered as the main feature of big data …