Question answering systems (QAS) are developed to answer questions presented in natural
language by extracting the answer. The development of QAS is aimed at making the Web …

Multilinguality is an important topic for knowledge bases, especially Wikidata, that was build
to serve the multilingual requirements of an international community. Its labels are the way …

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 …

Background Medical information has rapidly increased on the internet and has become one
of the main targets of search engine use. However, medical information on the internet is …

The rapid development in the field of information science and the increase in the usage of
information retrieval strategies have empowered users to retrieve more accurate information …

Content on the web is predominantly written in English, making it inaccessible to those who
only speak other languages. Knowledge graphs can store multilingual information, facilitate …

A plethora of diverse approaches for question answering over RDF data have been
developed in recent years. While the accuracy of these systems has increased significantly …

A growing part of Big Data is made of knowledge graphs. Major knowledge graphs such as
Wikidata, DBpedia or the Google Knowledge Graph count millions of entities and billions of …

Question answering systems (QAS) are developed to answer questions presented in natural
language by extracting the answer. The development of QAS is aimed at making the Web …

Thanks to 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). Semantic Question Answering …