A minimalist knowledge base manager

Knowledge triples extraction and knowledge base construction based on dependency syntax for open domain text.

CCKS 2019 中文短文本实体链指比赛技术创新奖解决方案

A batteries-included kit for knowledge graphs

Jack the Reader

Language, Knowledge, Cognition

Code for "KBGAN: Adversarial Learning for Knowledge Graph Embeddings" https://arxiv.org/abs/1711.04071

TopicDB is a topic maps-based semantic graph store (using PostgreSQL for persistence)

ASER (activities, states, events, and their relations), a large-scale eventuality knowledge graph extracted from more than 11-billion-token unstructured textual data.

A state of the art knowledge base

EMNLP 2018: HyTE: Hyperplane-based Temporally aware Knowledge Graph Embedding

PyTorch implementation of the ACL 2019 paper "Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader"

A Capsule Network-based Embedding Model for Knowledge Graph Completion and Search Personalization (NAACL 2019)

SimplE Embedding for Link Prediction in Knowledge Graphs

Expert Systems for Python

TransOMCS is a commonsense knowledge resource transferred from ASER. It is in the format of OMCS but two orders of magnitude larger.

Source code for the paper "Improving Knowledge-aware Dialogue Generation via Knowledge Base Question Answering".

Knowledge representation and expert systems examples

Tensorflow implementation of CFO, a knowledge graph based QA system

Automatically modelling and distilling knowledge within AI. In other words, summarising the AI research firehose.

The API utils for querying CN-DBpedia & CN-Probase, the biggest Chinese knowledge bases

BioGrakn - COVID Knowledge Graph

Another try of blogging or personal knowledge base

ROCK model for Knowledge-Based VQA in Videos

Using expert system shells for the development of Expert systems. These shells are empty Expert System knowledge bases, which have the structure and interface already written for us; all we need to do is to add the knowledge into the KB. Instead of writing an Expert System from scratch, for this problem we will be using a small Expert System shell to design and implement an expert system. We used PyKnow Framework for building the concerned expert system.

Implementation of the Paper "Entity Linking in Web Tables with Multiple Linked Knowledge Bases"

💻Knowledge Base Systems (or Semantic Web Systems) Assignments for ECE NTUA

Implementation of knowledge base (KB) abilities for agents developed in SPADE (Smart Python Agent Development Environment). The finalised product should enable agents to cope with personal and global knowledge bases explicated using logical statements in various languages, or RDF/OWL files.