The study presented in this paper uses heuristics from computer linguistics and graph theory to analyze a systematic literature review on educational technology. A literature review was conducted to validate an expert-based taxonomy which was developed to ontologize delivered teaching and learning for easy reuse. The sample includes N = 121 publications. The findings indicate that the yielded key words that were generated through T-MITOCAR Artemis contained key features that were rated as being relevant to the experts and caused the expert-based taxonomy to be changed and restructured. The results of this study provide directions on how time-consuming elements of systematic literature reviews could partially be automated. [For the full proceedings, see ED636095.]