Showing all 23 Publications linked to the rexplore technology

external website icon

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...


Publications | Visit External Site for Details  

Osborne, F., Mannocci, A. and Motta, E. (2017) Forecasting the Spreading of Technologies in Research Communities, K-CAP 2017, Austin, Texas, USA

Publications | Visit External Site for Details  

Salatino, A.A., Osborne, F. and Motta, E. (2017) How are topics born? Understanding the research dynamics preceding the emergence of new areas, PeerJ Computer Science

Publications | Visit External Site for Details  

Osborne, F., Salatino, A., Birukou, A., Thanapalasingam, T. and Motta, E. (2017) Supporting Springer Nature Editors by means of Semantic Technologies, International Semantic Web Conference 2017 (Industry Track)

Publications | Visit External Site for Details  

Osborne, F., Thanapalasingam, T., Birukou, A. and Motta, E. (2017) Smart Book Recommender: A Semantic Recommendation Engine for Editorial Products, Poster at International Semantic Web Conference 2017

Publications | Visit External Site for Details  

Osborne, F., Mannocci, A. and Motta, E. (2017) Forecasting Technology Migrations with the Technology-Topic Framework, Poster at International Semantic Web Conference 2017

Publications | Visit External Site for Details  

Gonzalez-Beltran, A., Osborne, F. and Peroni, S. (eds.) (2017) Semantics, Analytics, Visualization. Enhancing Scholarly Data: Second International Workshop, SAVE-SD 2016, Montreal, QC, Canada, April 11, 2016, Revised Selected Papers Semantics, Analytics, Visualization. Enhancing Scholarly Data., eds. Springer Nature.

Publications | Visit External Site for Details  

Basave, A., Osborne, F. and Salatino, A.A. (2016) Ontology Forecasting in Scientific Literature: Semantic Concepts Prediction based on Innovation-Adoption Priors, 20th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2016)

Publications | Visit External Site for Details  

Osborne, F., de Ribaupierre, H. and Motta, E. (2016) TechMiner: Extracting Technologies from Academic Publications, 20th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2016), Bologna, Italy

Publications | Visit External Site for Details  

Osborne, F., Salatino, A.A., Birukou, A. and Motta, E. (2016) Automatic Classification of Springer Nature Proceedings with Smart Topic Miner, 15th International Semantic Web Conference, Kobe, Japan

Publications | Visit External Site for Details  

Osborne, F., Salatino, A.A., Birukou, A. and Motta, E. (2016) Smart Topic Miner: Supporting Springer Nature Editors with Semantic Web Technologies, Demo at International Semantic Web Conference 2016, Kobe, Japan

Publications | Visit External Site for Details Publications | Visit External Site for Details  

Salatino, A.A. and Motta, E. (2016) Detection of Embryonic Research Topics by Analysing Semantic Topic Networks, Workshop: 2016 WORKSHOP ON "SEMANTICS, ANALYTICS AND VISUALISATION: ENHANCING SCHOLARLY DATA" at 25th International World Wide Web Conference (WWW 2016), Montreal, Quebec (CA), Springer

Publications | Visit External Site for Details  

de Ribaupierre, H., Osborne, F. and Motta, E. (2016) Combining NLP and semantics for mining software technologies from research publications, Poster at World Wide Web 2016

Publications | Visit External Site for Details  

Salatino, A.A. (2015) Early Detection and Forecasting of Research Trends, Workshop: Doctoral Consortium at The 14th International Semantic Web Conference (ISWC), Bethlehem (PA)

Publications | Visit External Site for Details  

Osborne, F. and Motta, E. (2015) Klink-2: Integrating Multiple Web Sources to Generate Semantic Topic Networks, International Semantic Web Conference 2015, Bethlehem, Pennsylvania

Publications | Visit External Site for Details  

Osborne, F., Scavo, G. and Motta, E. (2014) Identifying diachronic topic-based research communities by clustering shared research trajectories, Extended Semantic Web Conference 2014, Crete, Greece

Publications | Visit External Site for Details  

Osborne, F. and Motta, E. (2014) Understanding research dynamics, Extended Semantic Web Conference 2014, Limenas Hersonissou, Crete.

Publications | Visit External Site for Details  

Osborne, F., Peroni, S. and Motta, E. (2014) Clustering Citation Distributions for Semantic Categorization and Citation Prediction, Workshop: LISC 2014 at International Semantic Web Conference 2014, Riva Del Garda, Italy

Publications | Visit External Site for Details  

Osborne, F. and Motta, E. (2014) Rexplore: Unveiling the Dynamics of Scholarly Data, Digital Library 2014, London, UK

Publications | Visit External Site for Details  

Osborne, F., Scavo, G. and Motta, E. (2014) A Hybrid Semantic Approach to Building Dynamic Maps of Research Communities, EKAW 2014, Linkoping, Sweden

Publications | Visit External Site for Details  

Osborne, F., Motta, E. and Mulholland, P. (2013) Exploring Scholarly Data with Rexplore, International Semantic Web Conference, Sydney, Australia

Publications | Visit External Site for Details Publications | Visit External Site for Details  

Osborne, F. and Motta, E. (2013) Exploring Research Trends with Rexplore, Workshop: 2nd International Workshop on mining scientific publications at Joint Conference on Digital Libraries 2013

Publications | Visit External Site for Details  

Osborne, F. and Motta, E. (2012) Mining Semantic Relations between Research Areas, International Semantic Web Conference, Boston, MA

Publications | Visit External Site for Details  

Motta, E. and Osborne, F. (2012) Making Sense of Research with Rexplore, Demo at International Semantic Web Conference, Boston, MA

View By

Other Publications

Jobs

Senior Research Fellow x 2

Knowledge Media Institute (KMi)
50,618 - 56,950 (Grade AC4)
Based in Milton Keynes
Permanent Position

WE ACCEPT APPLICATIONS FROM CITIZENS GLOBALLY The Knowledge Media Institute (KMi) is one of the top research centres in the world in the area of knowledge and media technologies, and we offer a creative and flexible working environment. The style, impact and content of our work are described in detail at http://kmi.open.ac.uk/ Your goal is to strengthen KMi's international research reputation and in particular pursue a robust and innovative research agenda in one or more of these...

Research Assistant / Associate

Knowledge Media Institute (KMi)
29.799 - 38,833 (Grade AC1 / AC2)
Based in Milton Keynes
Temporary contract until 30th November 2018

WE ACCEPT APPLICATIONS FROM CITIZENS GLOBALLY The Knowledge Media Institute (KMi) is a distinct research unit within the Faculty of Science, Technology, Engineering and Mathematics (STEM) at the Open University. KMi is looking for a Research Assistant or a Research Associate to work on the project Analytics For Everyday Learning. The AFEL Project is an innovative EU funded research project with 5 partners from the UK, Germany, Spain, and Austria. Its goal is to identify the features that...

Research Assistant / Associate

Knowledge Media Institute (KMi)
29,799 - 38,833 (Grade AC1 / AC2)
Based in Milton Keynes
Temporary contract until 31st December 2018

WE ACCEPT APPLICATIONS FROM CITIZENS GLOBALLY The Knowledge Media Institute (KMi) is a distinct research unit within the Faculty of Science, Technology, Engineering and Mathematics (STEM) at the Open University. KMi is looking for a Research Assistant or a Research Associate to work on the OU ANALYSE project (http://analyse.kmi.open.ac.uk). The aim of the project is to increase the retention rate at the OU and at the same time to improve the quality of education. Internet technologies...

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

If you have any comments, suggestions or general feedback regarding our website, please email us at the address below.

Email: KMi Development Team