GKB Viewer

GKB Viewer analyzes knowledge graphs by ingesting a graph source and producing quantitative and structural insights. It supports common graph formats and normalizes data for consistent analysis. The tool is useful for data scientists, knowledge engineers, and semantic web professionals who need to verify graph integrity, discover influential entities, and identify connected subgraphs. It also supports deterministic results across runs by stable ordering of identifiers and provenance metadata for auditing.
The tool ingests a source URL or file, parses into a directed graph, and computes core metrics such as node and edge counts, type distributions, degree centrality, betweenness centrality, and clustering tendencies. It supports subgraph sampling and path extraction for focused analysis. Outputs are ready for programmatic consumption and dashboards, and it can preserve edge directions and multi-edges where applicable.
Advanced users can enable time-sliced views, filter by node types, and compare subgraphs across contexts. Exports include JSON or CSV summaries to support dashboards and audits. Unique value lies in flexible format support, incremental processing, and reproducible results without requiring visualization tooling. The approach emphasizes reproducible analytics and standardized outputs for reporting.