Contextual Research Platforms

1 review

Application Platforms for strategic innovation and knowledge discovery. Platforms allow to explore and navigate knowledge landscapes, processes to find context related to one or multiple topics. Data-Science: - support multi-partite knowledge graphs or custom models to search for related context about one or multiple topics. Tech-Architecture: - support any type of backend architecture via simple integration with API REST. User Experience: - suited also for people without a technical background Features: - UX to overview and summarise knowledge landscapes; - multiple types of algorithm for contextual extractions; - sharing maps on the web for public engagement; - modules to aggregate content on top of knowledge maps; - responsive web applications ( SVG renders or WebGL with fallback on Canvas rendering ) Benefits: Clients reported a faster time-to-market process to deliver graph applications for uncovering connected data, releasing MVP in a few days and products in a few weeks.

Knowledge Graphs for knowledge landscaping, discovery and inference

0 reviews

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.