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 …

Natural Language Interfaces to Databases (NLIDB) systems eliminate the requirement for an
end user to use complex query languages like SQL, by translating the input natural …

Medical ontologies are widely used to describe and organize medical terminologies and to
support many critical applications on healthcare databases. These ontologies are often …

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

Business process automation is a booming multi-billion-dollar industry that promises to
remove menial tasks from workers' plates--through the introduction of autonomous agents …

In this work, we use semantic knowledge sources, such as cross-domain knowledge graphs
(KGs) and domain-specific ontologies, to enrich structured data for various AI applications …

Current information retrieval systems are more concerned with helping users look up the
information they want, but retrieving it accurately is a difficult task. In this paper, we proposed …

In this paper, we present an automated technique for creating a chatbot interface to
databases. To the best of our knowledge, our technique is the first one for bootstrapping …

Abstract Large-scale Knowledge Graphs (KGs), such as Wikipedia and many enterprises or
other domain-specific KGs, contain large numbers of real-world facts and are ubiquitous and …

To solve the problem of empty or incongruent results in semantic queries, the paper
proposes a flexible query method based on ontology knowledge base. First, it constructs the …