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Champion: Enrico Motta
Professor of Knowledge Technologies Email Icon Website Icon RDF Icon

Participant(s):Francesco Osborne, Angelo Antonio Salatino

Timeline:01 Nov 2012

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Rexplore

Exploring Research Data

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.

To analyse research performance at different levels of abstraction, including individual researchers, organizations, countries, and research communities identified on the basis of dynamic criteria.

An important aspect of Rexplore is that it does not rely on manually-generated taxonomies of research areas, which tend to be shallow and date very rapidly, but uses instead an innovative ontology population algorithm, Klink, which automatically constructs a semantic network of fine-grained research areas, linked by semantic relations, such as sameAs and subAreaOf. The use of Klink ensures a fine-grained handling of research areas and affords Rexplore a very high level of precision and recall in associating topics to publications and researchers.

Rexplore offers an advanced graphical interface, comprising a variety of innovative and fine grained visualizations, which support users in exploring authors, topics, and research communities. To support effective exploration, all graphical elements can be clicked on, thus enabling a seamless and contextualized navigation.

News

10 Jan 2019

Angelo Salatino


13 Jan 2018

Angelo Salatino


07 Dec 2017

Ilaria Tiddi


15 Jun 2016

Mathieu d'Aquin


Publications

Publications | Visit External Site for Details  

Salatino, A., Osborne, F., Birukou, A. and Motta, E. (2019) Improving Editorial Workflow and Metadata Quality at Springer Nature, The 18th International Semantic Web Conference (ISWC 2019), Auckland, New Zealand

Publications | Visit External Site for Details  

Salatino, A., Osborne, F., Birukou, A. and Motta, E. (2019) Smart Topics Miner 2: Improving Proceedings Retrievability at Springer Nature, 18th International Semantic Web Conference (ISWC 2019): Posters & Demonstrations, Industry and Outrageous Ideas Tracks, Auckland, New Zeeland

Publications | Visit External Site for Details  

Angioni, S., Osborne, F., Salatino, A., Recupero, D. and Motta, E. (2019) Integrating Knowledge Graphs for Comparing the Scientific Output of Academia and Industry, 18th International Semantic Web Conference (ISWC 2019): Posters & Demonstrations, Industry and Outrageous Ideas Tracks, Auckland, New Zeeland

Publications | Visit External Site for Details  

Salatino, A., Osborne, F., Thanapalasingam, T. and Motta, E. (2019) The CSO Classifier: Ontology-Driven Detection of Research Topics in Scholarly Articles, TPDL 2019: 23rd International Conference on Theory and Practice of Digital Libraries, Oslo, Norway

Publications | Visit External Site for Details Publications | doi 

Mannocci, A., Osborne, F. and Motta, E. (2019) Geographical trends in academic conferences: An analysis of authors' affiliations, Data Science Special Issue about Semantics, Analytics and Visualisation: Enhancing Scholarly Dissemination, pp. (Early Access), IOS Press

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Research Themes

Jobs

Research Manager (Grade 7)

Knowledge Media Institute (KMi)
£33,199 - £39,609
Based in Milton Keynes
Fixed term until 31st July 2121

The Open University is the UK's largest university, a world leader in flexible part-time education combining a mission to widen access to higher education with research excellence, transforming lives...

Research Assistant / Associate (AC1 - AC2)

Knowledge Media Institute (KMi)
£30,395 - £38,460 (Grade AC1 / AC2)
Based in Milton Keynes
6 Months Fixed Term - Full time

The Open University is the UK's largest university, a world leader in flexible part-time education combining a mission to widen access to higher education with research excellence, transforming lives...

CONTACT US

Knowledge Media Institute
The Open University
Walton Hall
Milton Keynes
MK7 6AA
United Kingdom

Tel: +44 (0)1908 653800

Fax: +44 (0)1908 653169

Email: KMi Support

COMMENT

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Email: KMi Development Team