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) …

With the development of the Semantic Web, a lot of new structured data has become
available on the Web in the form of knowledge bases (KBs). Making this valuable data …

The gap between unstructured natural language and structured data makes it challenging to
build a system that supports using natural language to query large knowledge graphs. Many …

With the increasing amount of semantic data available on the web there is a strong need for
systems that allow common web users to access this body of knowledge. Especially …

In the last two decades a new part of the web grew significantly, namely the Semantic Web. It
contains many Knowledge Bases (KB) about different areas like music, books, publications …

One of the effective approaches for answering natural language questions (NLQs) over
knowledge graphs consists of two main stages. It first creates a query graph based on the …

Recently, many question answering systems that derive answers from linked data
repositories have been developed. The purpose of this survey is to identify the common …

The necessity of making the Semantic Web more accessible for lay users, alongside the
uptake of interactive systems and smart assistants for the Web, have spawned a new …

As increasingly more semantic real-world data is stored in knowledge graphs, providing
intuitive and effective query methods for end-users is a fundamental and challenging task …

Research has seen considerable achievements concerning translation of natural language
patterns into formal queries for Question Answering (QA) based on Knowledge Graphs (KG) …