Knowledge Graph web application using Spring Boot and Neo4J

The following prospects are handled by the application:

Update Weaver and Retailer transactions

Analyse product stock

Track company profits through visualizations

Devise effective strategies

What you need

JDK 1.8+

Gradle 4+ or Maven 3.2+

Run the application

./mvnw spring-boot:run

Routes

/query

/patch

/register

Products

• The products section allows us to query the real time stock of products in the company.
• Provision is given for manually selecting the required product type, category and weave.
• State wise distribution of the product stocks is available by selecting the split toggle filter.

Statistics

• Queries like which type of product was bought by the retailer and in which month can be answered using the statistics query.
• Product specifications can be used for filtering of data.
• An example present below shows the result of querying which type of product was sold in the monsoon and spring seasons and in which months specifically.
• Bar graphs shows how much of each type is sold monthwise.

Transactions

• Fetching transaction details can be done by using the transactions form.
• Handles both retailer and weaver transactions dynamically.
• Transactions can be filtered based on the month, state and the product sold/ bought.
• Special line graphs for selected weavers/ retailers showing their transactions are rendered.

Updating the Graph Database

• When a new retailer or weaver is registered inside the company, his details are encapsulated into an instance of Retailer or Weaver and inserted into the database.
• This real time updation of the graph database causes the newly entered data to be visible while running a new query.
• Similarly, every new transaction recorded across all centers of the company is inserted into the database by making use of our APIs.

Visualizing the Graph

1. Weavers

• Weavers are customers who sell products to the company.
• The below graph shows one such product (orange nodes) which has been sold (represented by the edge) to the company by a number of weavers (purple nodes).
• The details of each transaction is stored as that respective edge’s attributes.

2. Retailers

• Retailers are customers who buy products from the company.
• The graph follows a similar structure to that of weavers with all the products bought by a retailer linked to that retailer node.