| Grant number: | 12/03795-1 |
| Support Opportunities: | Scholarships in Brazil - Post-Doctoral |
| Start date: | August 01, 2012 |
| End date: | December 31, 2013 |
| Field of knowledge: | Physical Sciences and Mathematics - Computer Science - Computing Methodologies and Techniques |
| Principal Investigator: | Flávio Soares Corrêa da Silva |
| Grantee: | Pierre Yves Andrews |
| Host Institution: | Instituto de Matemática e Estatística (IME). Universidade de São Paulo (USP). São Paulo , SP, Brazil |
Abstract Many nations are now passing regulations to open governmental data that leave administrations facing a growing number of requirements to distribute large sets of data.These datasets can be made of very different type of information, ranging from procedural data to public spending and official disclosure information.Some grassroot projects have shown that such an increase in government transparency can improve the participation of citizens in the governmental processes and help monitor these processes.However, a number of issues are arising from this increased flow of public data, such as interoperability of the distribution platforms, standard open formats to use, and how to convert legacy documents in these open formats.Within this project, we propose to tackle some of these issues in the domain of parliamentary transparency.We propose to study the requirements for an open transparency standard that can be used to share data of the law making process for different government structures.This new standard will be illustrated within the project by delivering some sample sets of data from different governments that are already distributing open transparency data in heterogeneous and raw formats.We believe that this will help highlight that such an open standard format can increase the possibilities for participatory platforms and can help build aggregate studies of the law making processes.While we believe that such a standard, machine readable format, will be beneficial for government transparency, many of the data provided are currently in raw formats, sometime in scanned physical documents or in non semantic formats such as PDF or HTML pages.We thus also propose to study methods for the (semi-)automatic extraction and conversion of legacy, raw transparency data in a semantic machine readable format.This phase of the project will be based on the format described earlier and will introduce algorithms and methods that can be used to further open the transparency data.This work will be supported by the background research performedwithin the Department of Computer Science at the Universidade de S\~aoPaulo (USP) where Prof. F. Soares Corr\^ea da Silva has been workingon eGovernment within the e-Ping project and where Prof. R. Wassermannhas been developing techniques in ontological engineering and theSemantic Web. | |
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