Visualize or Perish! 

Over 2.5 million scientific articles are published annually. More than 6,849.32 new research journal articles are published every day! How in the world a researcher finds what matters?

The mere identification of the most relevant Scientific Knowledge Objects (SKOs) in a particular topic is increasingly difficult due to the existing interfaces, returning massive lists of results. It is recognized that researchers are not merely producers of knowledge. Instead they are social actors who play a preponderant role in the discovery and filtering of scientific knowledge. The data that results from this social interaction provides an important basis for the design of various usage metrics, also known as aka altmetrics.

Access to the right and relevant information is paramount for scientific discoveries. IViSSEM aims to develop and test a new altmetric, called Social Scholarly Experience Metric. This metric will result from the application of Machine Learning techniques to different combinations of altmetrics and profiles of researchers. Its application will reflect the individual preferences in the process of finding a specific topic. The current massive lists of results will be replaced by an innovative interface based on advanced visualization techniques.

The project was originally written by Bruno Azevedo, Jorge Oliveira e Sá, Ana Alice Baptista and Pedro Branco

• To define rigorous criteria for assessing the relevance of specific altmetrics.
• To personalize the relevance of the results.

• To use or improve algorithms for extracting meaningful structured data from highly unstructured and uncategorized usage data.

• To develop and implement efficient and non-intrusive approaches to collect scientific social media data.
• To univocally identify a researcher through different science and social media platforms.
• To univocally identify SKOs through different science and social media platforms.

• To design and develop a Linked Open Data based solution architecture that ensures data interoperability, data accessibility, data integration and data analytics with full aligned with international best practices.
• To dynamicaly relate SKOs and researchers with knowledge organizations systems.
• To clean, transform, store and give access to collected data in a triplestore.

• To conceptualize and design the interface layout with new Information Visualization interaction techniques.
• Provide meaningful and relevant experiences to users based on the user experience and user interface design process.