The end of linear text in scholarly communication?
After the origin of writing the mediation of complex knowledge was limited since thousands of years to written disclosure of information by linear text. The academic communication mainly uses linear text even with mathematical and scientific facts. For some 20 years, the progressive digitization of science allows the mass to visualize complex relationships and their dissemination without being tied to linear text any more. The externalization of knowledge and the transfer from one person to another can now also be done using alternative techniques. This is nearly a revolution in academic communication. But especially for libraries, this represents a significant challenge, were libraries but aimed for 2,000 years to store and spread scientific results almost exclusively as textual forms.

Visualization framework in teaching bookbinding at the Faculty of Graphic Arts.

ICT-based learning (Information and Communication Technology) provide active learning process through enhances student-centred learning approaches, collaborative and participative forms of teaching and learning. Actually teacher has become tutor and supports the active learning process through problems solving and updating the contents for learning. Dialog, writing and “high-order thinking” have got significant importance because ICT learning environmental directly improve communicative learning processes including social network model of thinking. That process can involve focussing on achieving a particular prior outcome (other courses), resolution to understanding all aspects of the issue.

Visualizing and understanding complex systems: from transport networks to online role-playing games.

I make a brief review of two different projects our group has participated in. One concerns empirical analysis and modeling of public transportation networks, another one deals with human behavior in a virtual environment of a massive multiplayer online game. A common feature of these studies which target entirely different, on the first sight, subjects is that in both cases we deal with complex systems of many interacting agents, displaying collective behavior that does not follow trivially from the behaviors of the individual parts. Complex network representation of the above systems facilitates their visualization as well as enables their conceptual understanding and quantitative description.

From Thomas Laqueur to Nazim Hikmet; the importance of information visualization for text analysis.

The birth of Digital Humanities is usually traced back to Roberto Busa, an Italian Jesuit priest who wanted to analyze the works of Saint Thomas Aquinas with linguistic and computational methodologies. In 1946 he started lemmatization of the corpus, which eventually is published after 30 years of work in 1970s in the format of 56 printed volumes. The Index Thomisticus was planned as a tool to facilitate an easier search through Aquinas' corpus.

During the first decade of what we today call Digital Humanities, text analysis was at the heart of the research agenda. Today, text analysis as a method still occupies the most important topic in the field. Yet, using information visualization as part of this research did not become mainstream. In this talk, I will give a brief history of different visualization techniques that are created specifically for understanding text mining/analysis results better. I will touch upon projects where the aesthetic dimension of information visualization comes to the fore as well. After this brief overview, I will highlight the importance of information visualization to Digital Humanities in general and text analysis in particular by focusing on two distinctly different text-mining projects. The first of these works expands the argument of Thomas Laqueur, a well-known historian and sexologist, on the transformation of how sex is understood in the West. The second project's goal is to capture the essence of the famous Turkish poet Nazim Hikmet's style with text analysis and information visualization.

Visualization of mind inside the brain.

Can we see mental processes looking at brain activity? Attempts to represent mental concepts in graphical form have long tradition, starting from Kurt Lewin, The conceptual representation and the measurement of psychological forces (1938), cognitive dynamic movement in phenomenological space. George Kelly in his personal construct psychology (1955) has defined geometry of psychological spaces as alternative to logic. More recently neuroimaging techniques are used with various forms of visualization to help transform neural activations into understandable images, both with real neuroimaging data and computational simulations. Chains of thoughts may be seen in trajectories of neurodynamics. Visualization of memory formation in neural systems will illustrate the process of learning memes, development of conspiracy theories and radicalization of world views.

ISKO-PL

ISKO-Hu

USA

Turkey

Ukraine

Germany

Greece

DARIAH-PL

Knowledge Organization Research Group

Turkey

Institute of Information Science and Book Studies NCU, Poland