The aim of this survey is to bridge two important components of
modern information access: information retrieval (IR) and knowledge
graphs (KGs). Modern IR systems can benefit from information
available in KGs in multiple ways, independent of whether the KGs
are publicly available or proprietary ones. The authors provide an
overview of the literature on KGs in the context of IR and the
components required when building IR systems that leverage KGs. As
an understanding of the intersection of IR and KGs is beneficial to
many researchers and practitioners, they consider prior work from
two complementary angles: leveraging KGs for information retrieval
and enriching KGs using IR techniques. They summarize research
work, group related approaches, and discuss challenges shared
across tasks at the interface of IR and KGs. In Knowledge Graphs:
An Information Retrieval Perspective, the authors present an
extensive overview of tasks related to KGs from an IR perspective,
provide a thorough review for each task, and present discussions on
common issues that are shared among the tasks. They discuss common
issues that appear across the tasks that consider and identify
future directions for addressing them. They also provide pointers
to datasets and other resources that should be useful for both
newcomers and experienced researchers in the area.
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