ConvertView A Tool for Conversion and Visualization of Open Heterogenic Governmental Data to the RDF Standard Clóvis H. Nascimento 1 , Ricardo A. Afonso 2 , Vinicius C. Garcia 1 and Carlo M. Revoredo da Silva 1 1 Informatics Center – Cin, Federal University of Pernambuco (UFPE), Caixa Postal 7851, 50.740-560, Recife, Pernambuco, PE, Brazil 2 Federal University of Alagoas (UFAL), Campus Arapiraca, ARACOMP, Arapiraca, Alagoas, AL, Brazil Keywords: Open Data, Structured Pattern, Data Extraction, Cloud Computing. Abstract: The diversity and relevance of the information made available by many governments, using the principles defined by the open data manifest, creates an opportunity for the populations aid in many fields of governmental administration, such as security, transportation, health care and education. However, most of this information was generated in unstructured digital files, making them hard to use. This paper presents an approach for the structuring of data, improving the processing and extraction of information. Thus, we created a tool based on a cloud computing environment, which has high processing and storage ability, to create files in a homogeneous and structured format, allowing for ominous and specific queries; contributing to the access of the information. 1 INTRODUCTION When the manifesto named Open Data (Accar 2009) appeared through the governments of many countries like United States and Brazil, to provide their legacy and current data to the world through the internet, created positive expectations in the population. The manifesto aimed, total and permanent transparency of their data produced in several areas, such as security, transportation, health, education, among others. In addition the use of these data, enables a better political and economic contribution from the population, for example, identifying the areas that require a greater investment of resources by the government. In Brazil’s case, these expectations were not fully met, not because of the data itself, but because of the difficulty in using them. According to (Breitman, K. et al. 2011) our biggest challenge today comes from the diversity of data sources and the provenance of these sources. Furthermore, most of the data provided by the Brazilian government are not in the Linked Data standard (Bizer, C. 2009), which allows the interconnection of different data sources, being the format recommended by the W3C consortium. The available Open data is unstructured (documents, spreadsheets etc.), despite several government initiatives supported by the W3C, the results aren’t sufficient to define a consistent approach, which would facilitate the creation of an infrastructure of Governmental Data in the Linked Data standard. Despite the listed problems, the exponential growth in available data on the web and other open data initiatives creates new challenges, such as the processing of large volumes of information and minimizing the high costs of hardware and software. To solve these problems, new technological approaches emerged, such as big Data (Wu et al. 2013), designed to process large volumes of distributed, heterogeneous data and cloud computing (Qi Zhang et al. 2010), which was used in this work. Cloud Computing provides hardware and software as a service for a low cost combined with various benefits such as high processing power, storage, scalability and so on. According to (Simmhan et al. 2010), scalability and ease of integrating data from multiple heterogeneous networks, justifies the adoption of cloud computing. In this context, this paper aims to contribute in the research of heterogeneous processing for the RDF (Resource Description Framework) data standard, thus, in an attempt to fill this gap, we propose a tool that operates in the cloud computing environment called ConvertView containing options for the user to 253 H. Nascimento C., A. Afonso R., C. Garcia V. and Revoredo da Silva C.. ConvertView - A Tool for Conversion and Visualization of Open Heterogenic Governmental Data to the RDF Standard. DOI: 10.5220/0005456902530258 In Proceedings of the 11th International Conference on Web Information Systems and Technologies (WEBIST-2015), pages 253-258 ISBN: 978-989-758-106-9 Copyright c  2015 SCITEPRESS (Science and Technology Publications, Lda.)