The overarching aim of our work is to develop tools and methods that overcome the challenge of efficiently accessing heterogeneous and distributed research data. The focus of this work is to answer questions regarding the action of pharmaceutical drugs. Specifically, we will:
1) Assess the state of the art in question answering and knowledge bases.
Task 1.1: each presenter prepares a short summary
2) Design an open platform for question answering.
Documentation on the progress : Google Doc
Task 2.1: Identify main components and define architecture diagram
(Machine Aided) Question Formulation
SPARQL query Generation
SPARQL query Execution
Rendering (Answer Presentation, Verbalization) [details]
User Feedback service
Controller: coordinates modules to take system from question to answer
Task 2.2: Define REST API for each component
Task 2.3: Identify how services will be discovered
3) Create a reference implementation to answer questions posed in natural language.
Task 3.1 implement core modules
Task 3.2 create integrated kb, search indices
Task 3.3 create user interface
4) Evaluate the accuracy and performance of our system.
Task 4.1 Evaluate and Extend Biomedical QALD
New Questions using Datasets from Bio2RDF, Biogateway
Documentation: Google Doc
Task 4.3 Identify new directions
Task 4.4 Evaluate System with QALD (DBpedia, biomedical)
Task 1.1 Michel, Axel, Erick
Task 2.1 Axel
Task 3.1 Axel
Task 3.2 Michel
Task 4.1 Michel
Task 4.2 Michel
Task 4.3 Erick