Abstract

Rexplore is a platform that integrates innovative techniques in large-scale data mining, semantic technologies and visual analytics, to provide a leading-edge solution for exploring and making sense of scholarly data. In particular, Rexplore allows users i) to detect and make sense of key trends in research, e.g., topic shifts within a research community, communities splitting, merging, spawning other communities, etc.; ii) to identify a variety of interesting relations between researchers, which go well beyond the standard ‘static’ relationships, such as co-authorship, which are commonly found in other systems; iii) to perform fine-grained expert search with respect to detailed multi-dimensional parameters; and iv) to analyse research performance at different levels of abstraction, including individual researchers, organizations, countries, and research communities identified on the basis of dynamic criteria. In this talk we provide an overview of Rexplore, illustrate its many innovative features and discuss in some detail some of its key technical solutions, including the Klink algorithm for automatically constructing fine-grained topic structures and the Research Communities Map Builder (RCMB), which is able to automatically link diachronic topic-based communities over subsequent time intervals to identify significant events in the research world. These algorithms integrate statistical techniques with heuristic reasoning and background knowledge in innovative ways, demonstrating how the integration of different techniques makes it possible to go beyond simple statistical pattern discovery to identify semantic relations between entities in the research domain.

Biography

Prof Enrico Motta has a Ph.D. in Artificial Intelligence from the UK’s Open University, where he is currently a Professor in Knowledge Technologies. He has authored over 300 refereed publications and his h-index is 56. His research focuses on large-scale data integration, pattern extraction and visualization, to enable users to make sense of large amounts of data and support robust decision-making processes. He currently leads MK:Smart, a £16M initiative which aims to tackle key barriers to economic growth in Milton Keynes, UK, through the deployment of innovative data-intensive solutions. He is also working on a novel environment for exploring and making sense of scholarly data, which leverages innovative techniques in large-scale data mining, semantic technologies and visual analytics. Prof Motta is Editor-in-Chief of the International Journal of Human-Computer Studies and, over the years, has advised strategic research boards and governments in several countries, including UK, US, The Netherlands, Italy, Austria, Finland, and Estonia.

Dr. Francesco Osborne has a Ph.D. in Computer Science from the University of Torino and he is currently research associate at KMi, the Open University. His research focuses on semantic web, data mining, semantic publishing, user modelling, and human computer interaction. He is the main developer of Rexplore, an advanced system which exploits semantic technologies and data mining algorithms for supporting the exploration of scholarly data. He was awarded 1st prize at the Semantic Publishing Challenge at the 2014 European Semantic Web Conference. He is also co-chair of the “Semantics, Analytics, Visualisation: Enhancing Scholarly Data” workshop at the Wold Wide Web conference.

Note

This talk is organized by the Christian Doppler Laboratory „Software Engineering Integration for Flexible Automation Systems“.

Speakers

• Prof. Enrico Motta, The Open University, UK
• Dr. Francesco Osborne, The Open University, UK

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