Visualizing and Structuring Semantic Data
Teemu Mäenpää, Vesa Nyrhilä · International Journal of Machine Learning and Computing · 2013
In this paper is proposed a method for representing semantic data and knowledge.The method is based two foundational concepts: semantic link network and adjacency model.The method allows graph presentations of semantic data and it preserves the semantic relationships between the concepts of the domain.Furthermore with the methodit is possible construct relational model of the semantically rich data.