Nanopublicação aplicada ao domínio de estudos de análise de redes de colaboração científica

Abstract

Research journals are efficient and powerful tools widely used by researchers to spread and share scientific studies. In recent years, due the huge amount of non-structured content available it becomes harder to use computational methods to recover, extract and reutilise all the information that can be found on these repositories. It arises the question if the use of the full text of a scientific paper still the best way to share knowledge, once the information that people seek, usually, can be found in small paragraphs within the full text. Nanopublications appears as a feasible way to tackle this problem, that uses semantics technology , in order to organise and facilitate the navigation and computational work, as the scientific results are highlighted and all the data is well structured. In this work, is proposed the use of nanopublications applied to Scientific Collaboration Network Analysis. For this, an ontology was created, through the Neon methodology, capable of representing the concepts of the network analysis domain. Ontology served to guide the extraction of information used to create nanopublications of this domain. A semantic application for nanopublishing recovery has also been created. The application was evaluated by an expert in the field, who verified the feasibility of the approach applied in the Scientific Collaboration Network Analysis studies. With the application, it was possible to quickly retrieve specific results from studies of scientific collaboration networks, ensuring the credibility and relevance of the statements.