The extraction of useful insights from text with various types of statistical algorithms is
referred to as text mining, text analytics, or machine learning from text. The choice of …

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 …

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 …

Abstract Natural Language Interfaces are increasingly relevant for information systems
fronting rich structured data stores such as RDF and OWL repositories, mainly because of …

With the recent rapid growth of the Semantic Web (SW), the processes of searching and
querying content that is both massive in scale and heterogeneous have become …

With large datasets such as Linked Open Data available, there is a need for more user-
friendly interfaces which will bring the advantages of these data closer to the casual users …

Providing a natural language interface to ontologies will not only offer ordinary users the
convenience of acquiring needed information from ontologies, but also expand the influence …

The need to make the contents of the Semantic Web accessible to end-users becomes
increasingly pressing as the amount of information stored in ontology-based knowledge …

Natural language interfaces offer end-users a familiar and convenient option for querying
ontology-based knowledge bases. Several studies have shown that they can achieve high …

Constructing semantic queries is a demanding task for human users, as it requires
mastering a query language as well as the schema which has been used for storing the …