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

Towards Evidence-Based Ontology for Supporting Systematic Literature Review