Exploring Scholarly Data with Rexplore
Francesco Osborne

This event took place on 5th March 2014 at 11:30am (11:30 GMT)
Knowledge Media Institute, Berrill Building, The Open University, Milton Keynes, United Kingdom, MK7 6AA

Rexplore leverages novel solutions in large-scale data mining, semantic technologies and visual analytics, to

provide an innovative environment for exploring and making sense of scholarly data. In particular, Rexplore allows users:

• To detect and make sense of important trends in research, such as, significant migrations of researchers from one area to another, the emergence of new topics, the evolution of communities within a particular area, and several others.

• To identify a variety of interesting relations between researchers, e.g., recognizing authors who share similar research trajectories. These relations go well beyond the standard co-authorship links or relationships informed by social networks, which are commonly found in other systems.

• To perform fine-grained expert search with respect to detailed multi-dimensional parameters.

In this seminar I will provide an overview of Rexplore and in particular I will illustrate some of its key innovative elements of the tool, including:

• Metrics and visualizations conceived to assess similarities between authors, migration flows and the performance of an author in different topics.

• Klink, an algorithm to automatically craft semantic relationships between research areas from keywords associated to documents and external sources.

• A novel approach to building science maps, enabling them to describe the diachronic behavior of research communities, how they interact and how they react to external events.

The webcast was open to 100 users

(54 minutes)

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