record

Thesis Info

LABS ID
00597
Thesis Title
New Paradigm Applied To A Digital Repository Of Scientific Publications: Design Of A Collaborative Structure For Visualization And Filtering Information
Author
Bruno Miguel Azevedo
2nd Author
3rd Author
Degree
Ph.D
Year
2016
Number of Pages
567
University
Universitat Politècnica de València (UPV)
Thesis Supervisor
Rubén Tortosa
Supervisor e-mail
rtortosa AT dib.upv.es
Other Supervisor(s)
Language(s) of Thesis
Portuguese/Spanish/English/
Department / Discipline
Drawing/Design-Multimedia
Languages Familiar to Author
English
URL where full thesis can be found
riunet.upv.es/handle/10251/61983
Keywords
collaboration, design, information, hierarchical and relational structures, visualization.
Abstract: 200-500 words
Compiling, organizing and visualizing information is a task carried out by mankind for thousands of years. The added difficulty in effectively communicating information in various sectors and services of our society reveals that an efficient communication of information is a contradictory fact that the current network society faces. It demonstrates an urgency to develop strategies that prioritize the organization and filtering, but that equally impact the communication process of information, in order to promote an efficient framework in the user’s cognitive and perceptual field. The task of understanding and designing/conceptualizing our complex information systems in a comprehensible and accessible manner, currently represents an important goal and an imperative task of the Design/er. This research project aims to Design a new communicative paradigm applied to academic scientific repositories. The publication and the querying of articles, papers, journals, books and other documents, are an integral part of the research process. However, the querying and information visualization process in a scientific academic repository, often proves to be inefficient, and at times even a hard task, because the wide range of results hardly fits in the user’s specific subject. In this sense, this research highlights a problem that emerges from the user's relationship with an academic repository of scientific information, in particular, a problem that is related to the results that best suit the user’s area of interest/the user’s specific topic. However, if we think that this information is accessed by a significant number of users with a specific interest in a topic, and that in the course of their research each of them handles a significant amount of information, it is then possible to consider the existence of a structure of evidences, that emerges from the relationship established between several users, their specific interests and the querying performed. Therefore, it is fundamental to consider the user’s experience and the leading role that it can represent in filtering information. The main contributions of this thesis are established at the level of a theoretical framework which builds a symbiosis between different areas of knowledge, including Design of Communication/Information Theory and Information Sciences, Reputation Systems and Information Visualization. That is closely followed by the Design of a new communication paradigm aimed towards the visualization of hierarchical structures and relational structures that result from the interaction between users and their research objects. It should be noted that the drawing of the structures of evidence resulting from the process of evaluating the objects of knowledge constitutes the main objective of this research project. In this sense, the interface model presents as a result the design of the hierarchical structures and relational structures that are born from the interaction between users and the consulted objects of knowledge. The organization of the results presented in the structures is based on a collaborative evaluation process (metadata), based on the user’s experience rather than on the usual quotation "object" centered approach (impact factor). To sum up, the Designed communication paradigm has new implications for researchers in the field of research and visualization of scientific knowledge networks.