Semamap v.0.1 is activist research on the linguistic structures underlaying large text collections. It has been applied to texts, narrations and validated documents of social political gatherings such as ESF Paris 2003 . Some visualisations have been developed for the e-library . Semamap is a research on the possibilities to do semantic analysis using free libre open source software packages and to be independent from academia or other institutionalized research laboratories. What is released in this version are visualizations of a semantic analysis performed over the texts of the e-library for social transformation and of the ateliers held during ESF Paris 2003. We have processed the texts with LSA (Latent Semantic Analysis) technique implemented in a python software package by Stan James. After experimenting with radial views with graphviz tool we wanted to make a visualization that would take into consideration the correlations found by previous semantic analysis. For this we found CCVisu: A Tool for Co-Change Visualization and General Force-Directed Graph Layout. This package that includes Fruchterman Reingold energy model, allows to take a matrix document (.rsf) and generate a layout (.lay) and an image (SVG) that is drawn optimizing the space and following the distribution of correlations obtained by LSI. Serebro (SVG Relation Browser) has served as a prototype to develop the engine that searches in the matrix for the most proximate relations. eBiblioLatent is an experiment on a text browser where a text cloud leads to the paragraphs found where that word is contained. Finnally we made databases with distances, words and documents and exported a graphml file that makes possible a visualization with prefuse toolkit. Semamuse Semantic Analysis version 0.1 is a visualization of the english texts of the e-library for social transformation. You can browse the relations and find abstracts of the texts. Semamap is developed by Alejandra Perez Nunez in collaboration with Yves Degoyon, Luka Frelih and Fabian Vogueli. The process is described with more detail in the website of common memory project visualizations Synopsis Special thanks to ljudmila.org for hosting this project