Pescarmona, GianPiero and Giglia, Elena Targeted knowledge: interaction and rich user experience towards a scholarly communication that "lets"., 2009 . In ELPUB 2009 International Conference on Electronic Publishing, Milano (Italy), 17-19 June 2009. [Conference paper]
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English abstract
All living systems share many properties including hardly predictable behaviours, due to the differences between individuals and the chaos in natural environments. The reductionist approach to the interpretation of these phenomena suffers from the oversimplification of the factors involved in the quest of universal “scientific” explanations. The validation of scientific paradigms is based on the consensus of leading groups that decide what is true and what is not. That means that all events - not only conflicting opinions but also conflicting raw data - not fitting with the scientific official truth were never published, and that supported indirectly the correctness of the experts’ choice. With the advent of Web 2.0 and the freedom of publishing, the number of these not fitting events has dramatically increased. Yesterday, data were supplied to the reader with the interpretation. Now the reader has to afford in each field a huge amount of data and opinions. Extracting from the garbage the information you need requires a strategy. Strategy is a science by itself. In the specific case of knowledge the first step is to define knowledge. The aim of life sciences, medicine, social sciences is to modify the reality when it is no longer sustainable, whatever it could mean in every single situation. I have to know how my system works to modify it. Knowledge is the information that allows me to succeed in my tasks. Tasks must have an assessable target. All information useful and therefore processed to attain the target will be “targeted knowledge”. Information can be selected on the basis of their congruence with the rules internal to the system. In Web 2.0 we found proper tools to test this approach. We implemented a web application - whose aim is an easier identification of the molecular basis of the diseases - structured in Rules, Reports, Items, Pathways and Tools referring and linking one another. The use of tags allows and fosters a free and personal use of information to create original knowledge. Users can follow and open innovative paths each time answering a different question, re-combining the fitting information. Our application is an example of advanced Problem Solving: the patient as a whole, not as a single symptom, has to be understood as a part of the living world (Gaia, with its rules) whose components (Items, Pathways) are described in their multiple roles and connections. The Web allows easy access to information, the program allows the network creation, the Rules drive the selection of the information and become more and more stable the more they evolutionary adapt to the reality. Something like the DNA, carrying sequences millions years old in an ever changing world.
Item type: | Conference paper |
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Keywords: | scholarly communication, learning 2.0, e-learning |
Subjects: | B. Information use and sociology of information > BG. Information dissemination and diffusion. |
Depositing user: | Elena Giglia |
Date deposited: | 07 Feb 2010 |
Last modified: | 02 Oct 2014 12:16 |
URI: | http://hdl.handle.net/10760/14241 |
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