The principles of Linked Open Data (LOD) establish a new way of sharing datasets opened by the Internet, aiming to promote the wide distribution of structured data in languages, such as eXtensible Markup Language (XML) and in compliance with the recommendations of the Resource Description Framework (RDF).
In this scenario, government datasets play a prominent role: they represent 18.58% of the total number of existing LOD datasets and 41.54% of these government datasets have at least one relationship with ontologies or controlled vocabularies, according to the results of the mapping developed by Linking Open Data cloud diagram.
However, there are still characteristics in the LOD dataset structures at the moment of data retrieval that is not considered ideal nor adopted good practices, such as the absence of metadata and licenses information. Actions to make public government data accessible are an integral part of discussions on trends in the modernization of public administration models, which seek to redistribute skills and resources among different intra-governmental and extra-governmental organizations, allowing greater institutional pluralism in public functions.
This paper describes a study conducted by Open Data for Development documents, in the retrieval phase and focusing on data quality, especially in analyzing structures found on government datasets pages, in order to identify ways to measure data quality aspects.
15 minutes presentation about how to data scrape over government websites.
The development of social networks is a topic of study for several areas, and with the increased use of the Internet in professional and leisure activities, online social networks have emerged: services with the goal of providing an interface between individuals.
The scientific development established between areas of knowledge has as main characteristic the activities developed by the scientific community, which is set for the research activities and collective research groups, in an individually way. Analyzes are performed through indicators on science and technology that provide measures about some aspects identified in the scientific literature.
This study aims to map papers presented on the Working Group Information and Technology – GT 08 at ENANCIB, from years between 2008 and 2015.