Fig. 4 | Scientific Data

Fig. 4

From: An open source knowledge graph ecosystem for the life sciences

Fig. 4

Open-Source Knowledge Graph Construction Methods - Survey Results. This figure presents the open-source knowledge graph construction methods identified on GitHub and the results of the survey assessment. (a) The final set of 16 knowledge graph construction methods surveyed according to the year they were first published on GitHub. (b) A chart of the methods evaluated in terms of the different survey categories. The survey was scored out of a total score of five points, which was derived as the sum of the ratios of coverage, each out of one point, for the five categories: KG Construction Functionality (10 questions); Availability (two questions); Usability (nine questions); Maturity (five questions); and Reproducibility (six questions). Acronyms: iASiS, Automated Semantic Integration of Disease-Specific Knowledge; KaBOB, Knowledge Base Of Biomedicine; KG, (Knowledge Graph); KGX (Knowledge Graph Exchange); KGTK (Knowledge Graph Toolkit); SeMi (SEmantic Modeling machine).

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