DBpedia Question Answering System

A Question Answering pipeline to provide users with richer responses.

This repository will provide the implementation of the project proposed that is funded by the Google Summer of Code program.

The final Dbpedia Chatbot [Demo].

The project Supervision and support is done by:

• Andreas Both
• Alexander Perevalov
• Ricardo Usbeck
• Ram Athreya

Two backend services of this chatbot consists of webhook and rdf_visualization. To build and run the docker images of these two services, please follow the below steps:

1. Webhook: Run the command bash ./Webhook/build.sh in your main directory (dbpedia-chatbot-backend). Open your browser to the URL given on your terminal once the server is up!
2. RDF Visualizatotion: Run the command bash ./rdf_visualization/build.sh in your main directory (dbpedia-chatbot-backend). Open your browser to the URL given on your terminal once the server is up!

Use cases of the future QA system:

• Users will be able to see if their intended entities have been correctly identified by the QA system. If not the users can accordingly rephrase their questions to get the desirable results.
• Users will be made aware of alternative answers in the event of the predicted answers having a low confidence score.
• Users would have the option to improve/modify their queries in case the information user requested for is not present with in the DBpeda Knowledge Graph.

Visualization of the current QA system:

    graph TD
        subgraph End-User
            res(Default Response)
            exp(Input Expression)
            cres(Custom Response)
            superres(Response) --> | | cres(Custom Response)
            superres(Response) --> | | res(Default Response)
        end
        subgraph Fullfillment
            wh(Webhook)
            wh(Webhook) --> |contains| H(components.js);
            wh(Webhook) --> |contains| I(app.js);
            wh(Webhook) --> |contains| J(intent.js);
        end
        subgraph Dialogflow
            A(Dialogflow-Agent) -->|contains| B(Entities);
            A(Dialogflow-Agent) -->|contains| C(Intents);
            A(Dialogflow-Agent) --> |check fulfillment| fc(Fulfillment Checker)
            fc(Fulfillment Checker) --> |enabled| wh(Webhook)
            fc(Fulfillment Checker) --> |disabled| res(Default Response)
        end
        subgraph RDF-Visualization
            F(app.py) --> |uses| E(index.html);
            I(app.js) --> |graph request| F(app.py);
        end
        exp(Input Expression) --> |intent matching| A(Dialogflow-Agent)
        I(app.js) --> |uses| H(components.js);
        I(app.js) --> |uses| J(intent.js);
        I(app.js) --> |give response| cres(Custom Response)