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| Author(s): |
Aretha Barbosa Alencar
Total Authors: 1
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| Document type: | Doctoral Thesis |
| Press: | São Carlos. |
| Institution: | Universidade de São Paulo (USP). Instituto de Ciências Matemáticas e de Computação (ICMC/SB) |
| Defense date: | 2013-02-07 |
| Examining board members: |
Maria Cristina Ferreira de Oliveira;
Roberto Marcondes Cesar Junior;
Hugo Alexandre Dantas do Nascimento;
Alejandro César Frery Orgambide;
Thiago Alexandre Salgueiro Pardo
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| Advisor: | Maria Cristina Ferreira de Oliveira |
| Abstract | |
Scientific articles are the major mechanism used by researchers to report their scientific results, and a collection of articles in a research area can reveal a lot about its evolution over time, such as the emergence of new topics and changes in topic vocabulary. However, given a broad collection of articles it is usually very difficult to extract important information that can help readers to globally interpret, navigate and then eventually focus on subjects relevant to their task. Document maps based on content are visual representations created to convey the similarity between documents, and have proven to be useful in helping users conducting exploratory tasks in this scenario. Documents are represented by graphical markers projected onto a two-dimensional space so that documents similar in content remain close. Although these maps allow visual identification of groups of related documents and boundaries between these groups, they do not explicitly convey the temporal evolution of a collection. In this thesis, we propose and validate a dynamic document map for collections of scientific articles capable of showing the temporal behavior to support analysis tasks, while simultaneously preserving the local accuracy of the map and the user global context. Changes in the similarity relationships, evidenced over time in this map, support the detection of the temporal evolution of topics. This evolution is characterized by transition events between groups such as the emergence of new groups and topics at specific moments and the specialization of a group, as well by detecting changes in the vocabulary of topics, using techniques that extract the most relevant terms (topics) in each group, at different times (AU) | |
| FAPESP's process: | 08/00848-1 - Treating the Temporal Component in Visualization of Complex Data |
| Grantee: | Aretha Barbosa Alencar |
| Support Opportunities: | Scholarships in Brazil - Doctorate |