The Semantic Web is an extension of the World Wide Web through standards set by the World Wide Web Consortium (W3C). The goal of the Semantic Web is to make Internet data machine-readable.
This can be seen in various aspects of web development, one being semantic HTML as a way to give your markup meaning, microformats like schema.org or linked-data like json-ld. Another aspect is from the opposite perspective: Reading and interpreting data. This can be done with metadata via RDF.
DBpedia Spotlight is a tool for automatically annotating mentions of DBpedia resources in text.
Big Data RDF Processing and Analytics Stack built on Apache Spark and Apache Jena http://sansa-stack.github.io/SANSA-Stack/
SANSA Machine Learning Layer
RDFRules: Analytical Tool for Rule Mining from RDF Knowledge Graphs
Automated Security Risk Identification Using AutomationML-based Engineering Data
A general Inference API based on two of the most popular Big Data processing engines: Apache Spark and Apache Flink
SANSA Stack OWL (Web Ontology Language) API
Sequoia is a consequence-based OWL 2 DL Reasoner supporting multithreaded reasoning
ORR Backend system
Cichlid is a distributed RDFS & OWL reasoning system based on Spark.
Random walk generation on RDF graph - DeepWalk inspired
SHAR: Scala + HermiT API and REPL; tools for description logics in Scala.
Discovery provides a powerful toolset for developers who are looking to build UIs using RDF data in an a robust software development process
a powerful toolset to build UIs using RDF data in an a robust software development process
CF standard names vocabulary to RDF: Automated Conversion and Registration
A REPL for creating and interacting with description logics knowledge bases
Stores the RDF Triple and Search the value of Object on the basis of Subject and Predicate.
Finding Association Rules from Semantic web data using Spark framework
Created by Tim Berners-Lee, James Alexander Hendler, Ora Lassila