Knowledge Graphs for knowledge landscaping, discovery and inference Discussions

Knowledge Graphs for knowledge landscaping, discovery and inference

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Knowledge graphs model to turn information into knowledge. We offer a knowledge graph pipeline for knowledge landscaping services. We enable big-data insights also for teams and organisation with little IT capacity: we leverage small IT resources with a stack comprising scientific python, redis, sql. By comparison, we benchmarked a data-model of 100M correlations on neo4j, orientDB ( graph databases ) based on 8GB RAM servers and on SQL on a low-level server with 2GB RAM, allowing to cutting server costs 10x. Full-text search is empowered by elasticsearch.

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