Ivissem | Information Visualization & Social Scholarly Metric
peter.suber's bookmarks 2019-10-19
Summary:
"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.
Objectives...
- 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...."