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) …

Question Answering (QA) systems over Knowledge Graphs (KG) automatically answer
natural language questions using facts contained in a knowledge graph. Simple questions …

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 …

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 …

Many question answering systems over knowledge graphs rely on entity and relation linking
components in order to connect the natural language input to the underlying knowledge …

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 …

Modern question answering (QA) systems need to flexibly integrate a number of
components specialised to fulfil specific tasks in a QA pipeline. Key QA tasks include Named …

Knowledge Graph Question Answering (KGQA) has gained attention from both industry and
academia over the past decade. Researchers proposed a substantial amount of …

Large amounts of geospatial data have been made available recently on the linked open
data cloud and on the portals of many national cartographic agencies (eg, OpenStreetMap …

In this demo, we introduce the DBpedia chatbot, a knowledge-graph-driven chatbot
designed to optimize community interaction. The bot was designed for integration into …