Re: voting assistance applications and use of semantic technologies

The current state of the art favors the surveillance state, because the selection of the issue statements,  which are at the heart of the VAA application engine doing the matching does not use semantic technologies and is thus narrow focused as indicated by literature.


 
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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________________________________
 From: Gannon Dick <gannon_dick@yahoo.com>
To: ProjectParadigm-ICT-Program <metadataportals@yahoo.com>; semantic-web <semantic-web@w3.org>; "public-lod@w3.org" <public-lod@w3.org> 
Sent: Friday, August 16, 2013 7:54 PM
Subject: Re: voting assistance applications and use of semantic technologies
 


Milton,

It's only my opinion, but when "The Surveillance State" seems quite convinced that voter suppression (the opposite of your goal) is possible with semantic methods, then perhaps a step backwards toward determinism might be wise.  I am not suggesting that you change your methods, only that politicians and political parties are well skilled in hiding events they do not want remembered.  The process is not random.  Semantic methods may be of some help, but the knowledge that statistical methods  *already* fail makes semantic methods potentially more helpful, at least as far as assessing the coverage of the search.

Something like this may help to insure that the "map" of recent history does not have any missing names.  It does not make uncovering gaps in a particular CV any easier
 (sorry).

http://www.rustprivacy.org/faca/view/

--Gannon






________________________________
 From: ProjectParadigm-ICT-Program <metadataportals@yahoo.com>
To: semantic-web <semantic-web@w3.org>; "public-lod@w3.org" <public-lod@w3.org> 
Sent: Friday, August 16, 2013 11:24 AM
Subject: voting assistance applications and use of semantic technologies
 


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

This email and any files transmitted with it are confidential and intended solely for the use of the individual or entity to whom they are addressed. If you have received this email in error please notify the system manager. This message contains
 confidential information and is intended only for the individual named. If you are not the named addressee you should not disseminate, distribute or copy this e-mail.