As data is an important asset for any organization, it is essential
to apply semantic technologies in data science to fulfill the need
of any organization. This volume of a two-volume handbook set
provides a roadmap for new trends and future developments of data
science with semantic technologies. Data Science with Semantic
Technologies: New Trends and Future Developments highlights how
data science enables the user to create intelligence through these
technologies. In addition, this book offers the answers to various
questions such as can semantic technologies be able to facilitate
data science? Which type of data science problems can be tackled by
semantic technologies? How can data scientists get benefited from
these technologies? What is the role of semantic technologies in
data science? What is the current progress and future of data
science with semantic technologies? Which types of problems require
the immediate attention of the researchers? What should be the
vision 2030 for data science? This volume can serve as an important
guide towards applications of data science with semantic
technologies for the upcoming generation and thus becomes a unique
resource for scholars, researchers, professionals, and
practitioners in this field.
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