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Milestone July 2018

Harsh Shah edited this page May 14, 2018 · 23 revisions

Extraction group

Work package Name Use Case - Panama Papers
ID 0
Summary In this use case, we will explore the panama paper files (https://www.kaggle.com/zusmani/paradisepanamapapers), transform them to RDF and investigate the Knowledge Graph content via keyword search and question answering as well as via visualisations/ml-techniques through our intelligent data assistant.
Start Date 2018-04-23
End Date 2018-07-16
Tasks Task 0.0 SASK should be able to load, transform and analyze the panama papers.
Task 0.1 SASK should be able to visualize simple connections such as how many company owners come from which country.
Task 0.2 SASK should be able to answer questions such as "Who own company XYZ?"
Task 0.3 SASK should be able to find "company owned by DAVID, RONALD".
Task 0.4 SASK should support finding a british actor owning companies on the bahamas via the intelligent data assistant.
Task 0.5 SASK should be able to find similar companies to a given on via the intelligent data assistant.
Deliverable Deliverable 0 - A working demo of the aforementioned tasks which feels natural.
Work package Name  Complex workflows
ID 1
Summary The application should be able to handle more complex workflows
Start Date 2018-04-23
End Date 2018-07-16
Tasks Task 1.1 (Lead: Andrè, Participants: Kevin) The backend (executer) should be able to handle more complex workflows
Task 1.2 (Lead: Kevin) The frontend (webclient) should be able to create more complex workflows
Deliverable Deliverable 1.1 (Task 1.1, Lead: Andrè, Due Date: 2018-07-16, Type: Software in the Master)
Deliverable 1.1 (Task 1.2, Lead: Kevin, Due Date: 2018-07-16, Type: Software in the Master)
Work package Name Exception & Message handling
ID 2
Summary The application should log everything on a central location
Start Date 2018-04-23
End Date 2018-07-16
Tasks Task 2.1 (Lead: Sepide, Participants: Suganya) Setup Logstash Docker
Task 2.2 (Lead: Sepide, Participants: Suganya) Setup Kibana Docker
Task 2.3 (Lead: Sepide, Participants: Suganya) Setup Logging microservice
Deliverable Deliverable 2.1 (Task 2.1, Lead: Sepide, Due Date: 2018-07-16, Type: Documentation) A wiki page with a guide to start logstash
Deliverable 2.2 (Task 2.2, Lead: Sepide, Due Date: 2018-07-16, Type: Documentation) A wiki page with a guide to start Kibana
Deliverable 2.2 (Task 2.2, Lead: Sepide, Due Date: 2018-07-16, Type: Software in Master) A new microservice to collect all logs and use lostash
Work package Name Integrate chat in UI
ID 3
Summary The chat should be intregrated in the UI
Start Date 2018-04-23
End Date 2018-07-16
Tasks Task 3.1 (Lead: Nilanjan, Participants: Kevin) create a (paper) prototype with the integrated chat window
Task 3.2 (Lead: Nilanjan, Participants: Kevin) create a functional prototype with the integrated chat window
Task 3.3 (Lead: Nilanjan, Participants: Kevin) integrate the chat in the ui
Deliverable Deliverable 3.1 (Task 3.1, Lead: Nilanjan, Due Date: 2018-05-14 Type: Document) A digital or paper prototype
Deliverable 3.2 (Task 3.2, Lead: Nilanjan, Due Date: 2018-06-04, Type: Software) A functional prototype of the new UI
Deliverable 3.3 (Task 3.3, Lead: Nilanjan, Due Date: 2018-07-16, Type: Software in Master) The chat should be integrated in the UI
Work package Name Ensemble learning
ID 4
Summary To extract data from training data To implement ensemble learning to predict which extractor fit
Start Date 2018-04-23
End Date 2018-07-16
Tasks Task( 4.1 Lead: Harsh, Participant : Kevin) To extract data from training data
Task( 4.2 Lead: Harsh, Participant : Kevin) To implement ensemble learning version for testing
Task( 4.3 Lead: Harsh, Participant : Kevin) To integrate into system
Deliverable Deliverable 4.1 (Task 4.1, Lead: Harsh, ,Due Date: 2018-07-16, Type: Document)Extracted Data
Deliverable 4.2 (Task 4.2, Lead: Harsh, Due Date: 2018-07-16, Type: Software) Ensemble Learning Software
Deliverable 4.3(Task 4.3, Lead: Harsh,Due Date: 2018-07-16, Type: Software in Master)Ensemble Learning implemented in our software
Work package Name Visualize the database content
ID 5
Summary The user should be able to display database content as graph and table in the UI
Start Date 2018-04-23
End Date 2018-07-16
Tasks Task 5.1 (Lead: Nilanjan, Participants: Kevin) Display database content in the UI
Deliverable Deliverable 5.1 (Task 5.1, Lead: Nilanjan, Due Date: 2018-07-16 Type: Software in Master)
Work package Name Auto Index Refinements
ID 6
Summary Auto Index should be highly customizable from both configuration and Rest interfaces, Close pending issues
Start Date 2018-04-23
End Date 2018-07-16
Tasks Task1: (Lead: Prashanth, Participants: Idrees) Customize Labels , Add Unit tests , Single Surface form and other bug fixes Task2: (Lead: Idrees) Quality Improvement(Codacy/Better Code) and Unit test coverage
Deliverable Due Date: 2018-07-16 Type: Software in Master which is very highly flexible and customisable)
Work package Name Intent Classification
ID 7
Summary Weka tool must be able to predict which component to delegate the query to
Start Date 2018-04-23
End Date 2018-07-16
Tasks (Lead: Divya) 1. Add Weka Code which predicts classification from a training set 2. Incorporate user feedback to improve future predictions
Deliverable Due Date: 2018-07-16 Type: Software in Master
Work package Name Deployment of Chatbot SASK Component
ID 8
Summary Come up with a generic framework for deployment of Chatbot microservices
Start Date 2018-04-23
End Date 2018-07-16
Tasks (Lead: Guru) 1. Dockerize the miroservices 2. Write a ansible playbook deploying the chatbot related microservices
Deliverable Due Date: 2018-07-16 Type: DevOps software in Master
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