Abstract The Semantic Web contains an enormous amount of information in the form of
knowledge bases (KB). To make this information available, many question answering (QA) …

The DBpedia community project extracts structured, multilingual knowledge from Wikipedia
and makes it freely available on the Web using Semantic Web and Linked Data …

Abstract We present Retriever-Transducer-Checker (ReTraCk), a neural semantic parsing
framework for large scale knowledge base question answering (KBQA). ReTraCk is …

Question Answering Systems (QASs) have emerged as a good alternative for information
seekers to retrieve precise information over the Internet. A good amount of research has …

The need to query information content available in various formats including structured and
unstructured data (text in natural language, semi-structured Web documents, structured RDF …

Knowledge bases and the Web of Linked Data have become important assets for search,
recommendation, and analytics. Natural-language questions are a user-friendly mode of …

While the amount of knowledge available as linked data grows, so does the need for
providing end users with access to this knowledge. Especially question answering systems …

According to demographic changes, the services designed for the elderly are becoming
more needed than before and increasingly important. In previous work, social media or …

It is very challenging to access the knowledge expressed within (big) data sets. Question
answering (QA) aims at making sense out of data via a simple-to-use interface. However, QA …

Multilingual question answering (MLQA) is a critical part of an accessible natural language
interface. However, current solutions demonstrate performance far below that of …