  Knowledge Graphs (KGs) have made a qualitative leap and effected a real
revolution in knowledge representation. This is leveraged by the underlying
structure of the KG which underpins a better comprehension, reasoning and
interpretation of knowledge for both human and machine. Therefore, KGs continue
to be used as the main means of tackling a plethora of real-life problems in
various domains. However, there is no consensus in regard to a plausible and
inclusive definition of a domain-specific KG. Further, in conjunction with
several limitations and deficiencies, various domain-specific KG construction
approaches are far from perfect. This survey is the first to offer a
comprehensive definition of a domain-specific KG. Also, the paper presents a
thorough review of the state-of-the-art approaches drawn from academic works
relevant to seven domains of knowledge. An examination of current approaches
reveals a range of limitations and deficiencies. At the same time, uncharted
territories on the research map are highlighted to tackle extant issues in the
literature and point to directions for future research.
