Discovering contextual knowledge with associated information in dimensional structured knowledge bases
Johannes Zenkert, Alexander Holland, Madjid Fathi · 2016
The visualization and simplification of complex semantically-related knowledge is one of the main challenges in knowledge discovery. In this regard, the knowledge map is a good visualization instrument to represent and provide suitable information with analysis potential. Multidimensional knowledge bases aim to support this objective and store automatically extracted facts and their dimensional relations from textual knowledge resources. In this paper, a dynamic layout structure for knowledge maps based on dimensional information is introduced. The Concept of the Imitation of the Mental Ability of Word Association (CIMAWA) is applied in this approach to create a graphical structure as arrangement of associated information on different levels of textual information.