Giter Site home page Giter Site logo

vtmike2015 / graph-based-literature-review-tool Goto Github PK

View Code? Open in Web Editor NEW
7.0 1.0 2.0 3.4 MB

This Network-graph based literature review tool uses the open-source version of Neo4j with Jupyter Notebooks written in Python to import academic literature metadata from a variety of sources including OpenAlex, arXiv, Sematic Scholar and Web of Science. Also incorporated are OpenAI vector embeddings using Neo4j's Vector Search Index capabilities.

License: GNU General Public License v3.0

Jupyter Notebook 100.00%
arxiv embedding-vectors embeddings graph-database neo4j opeanai openalex semantic-scholar vector web-of-science

graph-based-literature-review-tool's Introduction

Graph-Based-Literature-Review-Tool

This Network-graph based literature review tool uses the open-source version of Neo4j with Jupyter Notebooks written in Python to import academic literature metadata from a variety of sources including OpenAlex, arXiv, Web of Science and more. Using a simple data model schema, literature metadata can be quickly imported, aggregated and normalized for analysis.

Jupyter Notebooks using Python and Neoj's Scripting language are available to import data from:

Machine Learning using vector embeddings generated by OpenAI is also available leveraging Neo4j's Vector Search Index capabilities in a simple Jupyter Notebook

This tool is described in the paper "A Network-Graph Based IT Artifact Aiding the Theory Building Process" published by the 2022 Hawaii International Conference on System Sciences (HICSS).

Data Model Schema

Modeling academic literature data as a network graph helps answer questions involving:

  • Understanding relationships between entities (such as Work and Authors, Authors and Institution)
  • Self-referencing to the same type of entity (such as Works referencing Works)
  • Exploring relationships of varying or unknown depth (such as References of References)
  • Discovering different paths (such as Author connections through Intitution or co-authored Works)

The Jupyter Notebooks are written to work with Neo4j version 5.x and higher with the APOC Library installed. To use Neo4j's Vector Search Index capabilities, Neo4j version 5.11 or higher is needed.

  • To import and export files as needed, an apoc.conf file in your Neo4j configuration directory is needed with the two lines below.
    • apoc.import.file.enabled=true
    • apoc.export.file.enabled=true

graph-based-literature-review-tool's People

Contributors

vtmike2015 avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar

Forkers

lw9726 dankoan

Recommend Projects

  • React photo React

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

  • Vue.js photo Vue.js

    ๐Ÿ–– 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. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

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 โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.