UNIQORN: Unified Question Answering over RDF Knowledge Graphs and Natural Language Text

Understand

Question answering over RDF data like knowledge graphs has been greatly advanced, with a number of good systems providing crisp answers for natural language questions or telegraphic queries.

• Some of these systems incorporate textual sources as additional evidence for the answering process, but cannot compute answers that are present in text alone.
• Conversely, the IR and NLP communities have addressed QA over text, but such systems barely utilize semantic data and knowledge.
• This paper presents a method for complex questions that can seamlessly operate over a mixture of RDF datasets and text corpora, or individual sources, in a unified framework.