Where is Linked Data in Question Answering over Linked Data?
This addresses a gap in evaluation methods for linked data in question answering, which is incremental as it builds on existing QA frameworks.
The paper argues that current question answering over linked data fails to exploit external links and shared schemas, proposing new evaluation settings to leverage Semantic Web advantages for AI-complete question answering.
We argue that "Question Answering with Knowledge Base" and "Question Answering over Linked Data" are currently two instances of the same problem, despite one explicitly declares to deal with Linked Data. We point out the lack of existing methods to evaluate question answering on datasets which exploit external links to the rest of the cloud or share common schema. To this end, we propose the creation of new evaluation settings to leverage the advantages of the Semantic Web to achieve AI-complete question answering.