I am currently doing a small research project involving voting assistance 
applications (VAAs) which help voters reach informed decisions on which 
political parties or candidates suit best their own personal political 
preferences.

Since VAAs apply algorithms withe weights and are based on analyzed texts 
searched for key concepts the question begs itself. Is there literature 
available which documents VAAs using semantic technologies to scour linked data 
for content to draw up historical patterns of candidates and parties to use in 
VAAs?

Politicians should be judged on what they promise now and what they have 
achieved, and for the latter we need analyzed historical track records in which 
semantic technology use in e.g. analysis of linked data maybe of some use.

We welcome pointers to literature and projects, past, ongoing or planned on 
this issue.

 
Milton Ponson
GSM: +297 747 8280
PO Box 1154, Oranjestad
Aruba, Dutch Caribbean
Project Paradigm: A structured approach to bringing the tools for sustainable 
development to all stakeholders worldwide by creating ICT tools for NGOs 
worldwide and: providing online access to web sites and repositories of data 
and information for sustainable development

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