RDF in the Political Domain: c/o Narayana, S., Varma, G.P.S. & Govardhan, A. (2013)

individual
|
INTERPERSONAL : SCIENCES
humanistic --------------------------------------- mechanistic
SOCIOLOGY : POLITICAL
|
group

"Consider the scenario where user wishes to find semantic associations between two persons in the domain of ‘Politics’. Then concepts such as ‘Politician’, ‘Political Organization’, ‘Government Organization’ and ‘Legislation’ are considered to be more relevant whereas the concepts such as ‘Financial Organization’ and ‘Terrorist Organization’ are considered to be less relevant. So, user is provided facilities to define his context by selecting his interested regions from the ontology, and based on this context the associations are ranked. As an example consider the RDF graph shown in Figure 2. It shows that, the user has selected three regions belonging to ‘Political Organization’, ‘Politician’, and ‘Legislation’" (p.97).

Figure 2 is copied below.

Reference and Acknowledgement:
Narayana, S., Varma, G.P.S. & Govardhan, A. (2013) An Improved Technique for Ranking Semantic Associations. International Journal of Web & Semantic Technology. 4, 93–106. doi:10.5121/ijwest.2013.4407

Part of RDF graph: DOI : 10.5121/ijwest.2013.4407