No abstract

In 2008, the Brazilian Department of Science and Technology created the INCTs (Brazilian Science and Technology Institutes). One of them was the Cancer Control INCT. Due to its importance and considering that there are different groups working together in the same area, it is important that they collaborate intensely. Envisioning an empowerment of scientific collaboration, the BRINCA project was created to support a set of analyses of the social networks from this particular INCT. These analyses were created by mining curricular and publications bases, and identifying different types of scientific relationships and areas. We were able to observe, for instance, how the interaction is amongst researchers from related areas, which researchers were more collaborative and which ones were isolated from the network. These analyzes were used by the INCT coordination to understand and act to improve scientific collaboration.

This paper demonstrates Treo, a natural language query mechanism for Linked Data graphs. The approach uses a distributional semantic vector space model to semantically match user query terms with data, supporting vocabularyindependent (or schema-agnostic) queries over structured data.

Considering the importance of cancer control in contemporary society, the INCT (National Institute of Science and Technology) for Cancer Control was established in 2008 as a national body under the Ministry of Health of Brazil. However, given its importance and considering a possible dispersion and the peculiar behavior of the academic environment, a series of analyses, as well as balancing, was conducted in the social networks that represent this INCT in particular. We will see not only a history of Social Networks, but also their application, importance, and peculiarities in the medical context. Further details will be shown in the project proposal BRINCA, its architecture, and the current state of our research.