  The semantic linked data model is at the core of the Web due to its ability
to model real world entities, connect them via relationships and provide
context, which could help to transform data into information and information
into knowledge. Linked Data, in the form of ontologies and knowledge graphs
could be stored locally or could be made available to everyone online. For
example, the DBpedia knowledge base, which provides global and unified access
to knowledge graphs is open access. However, both access and usage of Linked
Data require individuals to have expert knowledge in the field of the Semantic
Web. Many of the existing solutions that are powered by Linked Data are
developed for specific use cases such as building and exploring ontologies
visually and are aimed at researchers with knowledge of semantic technology.
The solutions that are aimed at non-experts are generic and, in most cases,
information visualisation is not available. Instead, information is presented
in textual format, which does not ease cognitive processes such as
comprehension and could lead to problems such as information overload. In this
paper, we present a web application with a user interface (UI), which combines
features from applications for both experts and non-experts. The UI allows
individuals with no previous knowledge of the Semantic Web to query the DBpedia
knowledge base for definitions of a specific word and to view a graphical
visualisation of the query results (the search keyword itself and concepts
related to it).
