-- WIP -- Knowledge Graph Project -- WIP --
This project aims at creating a knowledge database with hierarchical topic modelling.
An introduction to Knowledge Graphs: http://ai.stanford.edu/blog/introduction-to-knowledge-graphs.
A knowledge graph is a directed labeled graph in which we have associated domain specific meanings with nodes and edges. Anything can act as a node, for example, people, company, computer, etc. An edge label captures the relationship of interest between the nodes, for example, a friendship relationship between two people, a customer relationship between a company and person, or a network connection between two computers, etc.
KGraph is based on open source technologies and released under the Apache License.
To play with KGraph without backend services, NOTE that topic search is not enabled and content is not persisted, you can use the GitHub Pages link.
To setup a Docker environment from the latest release, please follow steps described at install-manifests/docker-compose.
backend: backend serviceshasura: GraphQL Server + PostgreSQL Database
frontend: frontend servicesvue: Vue JS (version 2) framework + Apollo Graphql Client
install-manifests: installation/deployment filesdocker-compose: Docker Compose configuration to run the latest release of the full KGraph stack
All the pull requests to master have to pass the CI check Super-Linter.
File & Folder names are separated by -, not _.
To setup locally the Super Linter follow these instructions.
Run check on the local folder:
docker run --rm -e RUN_LOCAL=true -e VALIDATE_JAVASCRIPT_STANDARD=false -e FILTER_REGEX_EXCLUDE=".*backend/hasura/schema/.*" -v `pwd`:/tmp/lint github/super-linter:v3.14.5Copyright (c) [2021] [Gian Luigi Romita]