DBLP-Neo4j-query-engine

DBLP Query Engine using Neo4j graphDB.

Dataset:-

• The DBLP server provides bibliographic information of Scholarly Data on major computer science journals and proceedings.
• Dataset:- Citation Network Dataset: DBLP+Citation, ACM Citation network DBLP-Citation-network V10

Architecture:-

• Frontend:-

  • Query 1: Keyword Discovery
  • Query 2: Researcher Profiling
  • Query 3: Influencing Author

• Backend:-

  • Dataset is loaded in Neo4j .

Setup Application

• Install Neo4j Desktop or any Neo4j DB instance. Download the DBLP dataset, and import it in Neo4j DB.

• Run required Cypher scripts.

Add queries sections required for initial setup.

• Download this git repo.

git clone https://github.com/A4ANK/DBLP-Neo4j-query-engine.git

• Create a virtual env for this app in python.

pip install virtualenv

python -m venv DBLP-Neo4j-query-engine

.\DBLP-Neo4j-query-engine\Scripts\activate

pip install -r requirements.txt

• Launch Flask web app.

python app.py

Licensed under:-

• BITS Pilani, Hyderabad Campus (CSG516 Adv. Database Systems Course, Semester-II, 2021-2022)