Git Product home page Git Product logo

faridyusiflix's Introduction

Multiple Knowledge GraphDB (MKGDB)

Farid Yusifli(1), Stefano Faralli(2), Paola Velardi(1) (1) University of Rome Sapienza (2) University of Rome Unitelma Sapienza

MKGDB is a large-scale graph database created as a combination of multiple taxonomy backbones extracted from 5 existing knowledge graphs, namely: ConceptNet, DBpedia, WebIsAGraph, WordNet and the Wikipedia category hierarchy. MKGDB, thanks the versatility of the Neo4j graph database manager technology, is intended to favour and help the development of open-domain natural language processing applications relying on knowledge bases, such as information extraction, hypernymy discovery, topic clustering, and others. Our resource consists of a large hypernymy graph which counts more than 37 millions nodes and more than 81 millions hypernymy relations.

Installing the Multiple Knowledge Graph Database

MKGDB is avaliable in two format:

If you chose to download the copy of the database instance, you will need to modify the neo4j.conf file to target the download graph database and restart the neo4j server. Instead, if you want to use to load the dump version, you can follow the instructions provided at: https://neo4j.com/docs/operations-manual/current/tools/dump-load/.

Related Resources

In this section we provide the link to download the dataset we used to generate the MKGDB:

Source code

We release also the java project we developed to the generation of the graph database starting from the above mentioned dataset. To correctly run the generation of the resource from the above dataset it is required to edit the config.properties file.

Contacts

Farid Yusifli, Stefano Faralli, Paola Velardi

faridyusiflix's People

Contributors

alishoffbnz2c avatar

Watchers

 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.