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) …

Over the last few years, natural language interfaces (NLI) for databases have gained
significant traction both in academia and industry. These systems use very different …

Recent advances in natural language understanding and processing resulted in renewed
interest in natural language based interfaces to data, which provide an easy mechanism for …

We consider the problem of open-domain question answering (Open QA) over massive
knowledge bases (KBs). Existing approaches use either manually curated KBs like …

Abstract Semantic Question Answering (SQA) removes two major access requirements to
the Semantic Web: the mastery of a formal query language like SPARQL and knowledge of …

The availability of large amounts of open, distributed, and structured semantic data on the
web has no precedent in the history of computer science. In recent years, there have been …

Recent advances in natural language understanding and processing have resulted in
renewed interest in natural language interfaces to data, which provide an easy mechanism …

This article introduces the Forest Query Builder (ForestQB), an innovative toolkit designed to
enhance the exploration and application of observational Linked Data (LD) within the field of …

We present a question answering system (CASIA@ V2) over Linked Data (DBpedia), which
translates natural language questions into structured queries automatically. Existing systems …

Natural language, being unstructured, makes the tedious task for building a model to parse it
into a query language successfully. An incorrect query for a particular question would lead to …