  [Background]: Systematic Literature Review (SLR) has become an important
software engineering research method but costs tremendous efforts. [Aim]: This
paper proposes an approach to leverage on empirically evolved ontology to
support automating key SLR activities. [Method]: First, we propose an ontology,
SLRONT, built on SLR experiences and best practices as a groundwork to capture
common terminologies and their relationships during SLR processes; second, we
present an extended version of SLRONT, the COSONT and instantiate it with the
knowledge and concepts extracted from structured abstracts. Case studies
illustrate the details of applying it for supporting SLR steps. [Results]:
Results show that through using COSONT, we acquire the same conclusion compared
with sheer manual works, but the efforts involved is significantly reduced.
[Conclusions]: The approach of using ontology could effectively and efficiently
support the conducting of systematic literature review.
