Nifty library to manage, query and store RDF triples. Make RDF great again!

A Python Embedded Graph Database

A curated list of mostly mature and/or actively developed Clojure resources for dealing with graph-like data.

A simple ontology and RDF visualization tool.

Low level PHP library for RDF1.1 based on N3.js

Native golang library for RDF (includes parser/serializer for Turtle and JSON-LD)

A schemaless graph database based on RocksDb

ONT-API (OWL-API over Apache Jena)

Convert RDF Turtle to N-Triples or N3P

An HTTP client for RDF resources

中国城市地名三元组，知识图谱

Matlab implementation of Neural Networks Results for Alarm-Warning Control System of mobile robot with five Ultrasonic sensors

A graph database which combines triple-store, key-value-store and distributed version control

Semantic search web application with graph visualization in Django

Simple (buy hopefully reasonably efficient) implementation of an RDF triple store on top of SQLAlchemy

基于LTP的无监督关系抽取，最终以Web形式提供API服务

We gave the code to find out whether any triple of positive real numbers represents a triangle or not.

Convert web archives to RDF triples with ArchiveSpark

Semantic Web languages OWL and RDF for knowledge representation of Alarm-Warning system for mobile robot showing the states for each sensor

Simple Data Interchange Format and Triplestore

Symatem graph database backend

Linked Data Platform for Plant Breeding & Genomics

A Squeak/Smalltalk parser for the N-Triples RDF serialization format.

The software used to extract structured data from Wikivoyage

The web contains vast repositories of unstructured text. We investigate the opportunity for building a knowledge graph from these text sources. We generate a set of triples which can be used in knowledge gathering and integration. We define the architecture of a language compiler for processing subject-predicate-object triples using the OpenNLP parser. We implement a depth-first search traversal on the POS tagged syntactic tree appending predicate and object information. A parser enables higher precision and higher recall extractions of syntactic relationships across conjunction boundaries. We are able to extract 2-2.5 times the correct extractions of ReVerb. The extractions are used in a variety of semantic web applications and question answering. We verify extraction of 50,000 triples on the ClueWeb dataset.

Stores the RDF Triple and Search the value of Object on the basis of Subject and Predicate.

Semantically Interoperable Genome Annotations