PUBLIC MARKS with search thesis

This is an overview of the visualization and interaction experiments I produced for my Masters Thesis “Visual tools for the socio–semantic web” (.pdf, 12MB).

Today, the sexuality is a taboo for elderly generations.

During my investigation, I have observed many prejudices about this topic in our society.

However, sexuality is always active over 70 years old.

I have revaled three specifics aims to start my project :

- Stimulate Sexual desire of elders into rest-home

- Educate practical nurses and students

- Sensitize general public about sexuality of elderly people

You can watch the differents ideas I suggested

to resolve these 3 problems in Diploma's part.

More than one hundred thou­sand person­al raw data sets were crawled from the web to fill this pa­ram­e­ters with subject mat­ters. Based on the thesis that the dig­ital identity is measur­able and compa­ra­ble these data sets were vi­su­alized us­ing custom compu­tational tools.

These stud­ies were designed to under­stand the data and determine its char­ac­ter­is­tics regard­ing the construction of dig­ital identity.

Af­ter the anal­ysis phase the data was vi­su­ally abstracted and interpreted to give the disembod­ied dig­ital identity a unique and char­ac­ter­is­tic »Gestalt« in form of a generated sculp­ture.

A motion graphics piece created by David Park, a student graduating from PARSONS SCHOOL of DESIGN. This is his thesis project, which is on Sneaker Culture. The piece touches on the trends of culture and their interactions with youth/pop culture, music, fashion, etc.

All of this is a way of showing how Roy T. Fielding's 2000 PhD thesis on Representational State Transfer has utterly dominated the discourse of publishing through the web. It's an incredibly productive architectural idea, and it's been the primary area of experimentation and development for geeks like us since the implosion of the previous web bubble.

In the course of my diploma thesis, I evaluated the performance of several RDF stores when small pieces of information are requested from a large dataset (DBpedia infoboxes plus two very small sets). The benchmark queries employ varying levels of joins and constraints.

we all love benchmarks