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) …

Templates are an important asset for question answering over knowledge graphs,
simplifying the semantic parsing of input utterances and generating structured queries for …

Over the years, a growing number of semantic data repositories have been made available
on the web. However, this has created new challenges in exploiting these resources …

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 …

In recent years, Question Answering (QA) systems have increasingly become very popular
in many sectors. This study aims to use a knowledge graph and deep learning to develop a …

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 …

Most question answering (QA) systems over Linked Data, ie Knowledge Graphs, approach
the question answering task as a conversion from a natural language question to its …

While RDF was designed to make data easily readable by machines, it does not make data
easily usable by end-users. Question Answering (QA) over Knowledge Graphs (KGs) is …

Annual Financial Reports are the core in the Banking Sector to publish its financial statistics.
Extracting useful information from these complex and lengthy reports involves manual …

The first stage of every knowledge base question answering approach is to link entities in
the input question. We investigate entity linking in the context of a question answering task …