Question Answering (QA) over Knowledge-Bases (KBs) is a very intresting research topic. A KB is a collection of facts. For example DBpedia is a KB containing facts collected from Wikipedia like the birth date of persons, capitals of countries, museums in cities and many more. These facts are stored in machine readable formats and they can be retrived using queries over databases. The information contained into such KBs can be very intresting for end-users but we cannot require from them to write a formal query over a database. This is where Question Answering (QA) over KBs comes into play, i.e. to automatically transform a natural language question like “Who is the mayor of Paris?” to a formal query that can be executed over a KB.

My research follows two directions. First, to create a framework, called Qanary, that allows to reuse and combine technologies that are already used in QA system. This is done in collaboration with Andreas Both (Supervisor, Datev ev) and Kuldeep Singh (ESR 8, FRAUENHOFER). Second, considering the lessons learned from previous question answering systems, we are building a new question answering system using new technologies. Currently it can query Dbpedia and Wikidata using natural language questions and keywords. Moreover it is possible to query Wikidata using english, french, german and italian. Visit it under www.wdaqua.eu/qa

Started:
2015-06-01
Supervisors:

Publications

Towards a Message-Driven Vocabulary for Promoting the Interoperability of Question Answering Systems. Kuldeep Singh, Andreas Both, Dennis Diefenbach, Saeedeh Shekarpour. IEEE ICSC 2016. URL PDF

Qanary – A Methodology for Vocabulary-driven Open Question Answering Systems. Andreas Both, Dennis Diefenbach, Kuldeep Singh, Saedeeh Shekarpour, Didier Cherix, Christoph Lange. ESWC 2016. URL PDF

A Scalable Approach for Computing Semantic Relatedness using Semantic Web Data. Dennis Diefenbach, Ricardo Usbeck, Kamal Singh, Pierre Maret. WIMS 2016. URL

Qanary – the Fast Track to Creating a Question Answering System with Linked Data Technology . Kuldeep Singh, Andreas Both, Dennis Diefenbach, Saedeeh Shekarpour, Didier Cherix, Christoph Lange. ESWC Poster&Demo 2016. PDF

A Scalable Approach for Computing Semantic Relatedness using Semantic Web Data. Dennis Diefenbach, Ricardo Usbeck, Kamal Singh, Pierre Maret. 6th International Conference on Web Intelligence, Mining and Semantics (WIMS) 2016. PDF

Computing the Semantic Relatedness of Music Genre using Semantic Web Data. Dennis Diefenbach, Pierre-René Lhérisson, Fabrice Muhlenbach, Pierre Maret. SEMANTICS Poster&Demo 2016. PDF

WDAqua-core0: A Question Answering Component for the Research Community. Dennis Diefenbach, Kamal Singh, Pierre Maret. ESWC, 7th Open Challenge on Question Answering over Linked Data (QALD-7) PDF

Trill: A reusable Front-End for QA systems, Dennis Diefenbach, Shanzay Amjad, Andreas Both, Kamal Singh, Pierre Maret, ESWC P&D PDF

The Qanary Ecosystem: getting new insights by composing Question Answering pipelines. Dennis Diefenbach, Kuldeep Singh, Andreas Both, Didier Cherix, Christoph Lange,Sören Auer. ICWE PDF

SPARQLtoUser: Did the question answering system understand me? Dennis Diefenbach, Youssef Dridi, Kamal Singh, Pierre Maret. ISWC Workshop PDF

Question Answering Benchmarks for Wikidata. Dennis Diefenbach, Thomas Pellissier Tanon, Kamal Singh, Pierre Maret. ISWC 2017 PDF

Core Techniques of Question Answering Systems over Knowledge Bases: a Survey. Dennis Diefenbach, Vanessa Lopez, Kamal Singh, Pierre Maret. Knowledge and Information Systems PDF

Internship Students

(09/16-12/16) Shanzay Amjad : Designing a front-end for QA systems

(05/17-07/17) Youssef Dridi : Generating a user understandable representation of a SPARQL query

(05/17-07/17) Shanzay Amjad : Transform an industrial dataset in RDF to make QA on it