Rexplore leverages novel solutions in data mining, semantic technologies and visual analytics, and provides an innovative environment for exploring and making sense of scholarly data. Rexplore allows users: (1) to detect and make sense of important trends in research; (2) to identify a variety of interesting relations between researchers, beyond the standard co-authorship relations provided by most other systems; (3) to perform fine-grained expert search with respect to detailed multi-dimensional parameters; (4) to detect and characterize the dynamics of interesting communities of researchers, identified on the basis of shared research interests and scientific trajectories; (5) to analyse research performance at different levels of abstraction, including individual researchers, organizations, countries, and research communities.

Osborne, F., Motta, E. (2014). Understanding research dynamics. In Semantic Web Evaluation Challenge: SemWebEval 2014 at ESWC (pp.101-107). Springer Verlag [10.1007/978-3-319-12024-9_13].

Understanding research dynamics

Osborne F
;
2014

Abstract

Rexplore leverages novel solutions in data mining, semantic technologies and visual analytics, and provides an innovative environment for exploring and making sense of scholarly data. Rexplore allows users: (1) to detect and make sense of important trends in research; (2) to identify a variety of interesting relations between researchers, beyond the standard co-authorship relations provided by most other systems; (3) to perform fine-grained expert search with respect to detailed multi-dimensional parameters; (4) to detect and characterize the dynamics of interesting communities of researchers, identified on the basis of shared research interests and scientific trajectories; (5) to analyse research performance at different levels of abstraction, including individual researchers, organizations, countries, and research communities.
paper
Data exploration; Data Integration; Data mining; Ontology population; Scholarly data; Semantic technologies; Semantic Web; Visual analytics;
English
1st Conference on Semantic Web Evaluation Challenge (SemWebEval) as Part of ESWC - MAY 25-29, 2014
2014
Di Noia T., Presutti V., Recupero D.R., Cantador I., Lange C., Lange C., Tordai A., Lange C., Stankovic M., Cambria E., Di Iorio A.
Semantic Web Evaluation Challenge: SemWebEval 2014 at ESWC
978-331912023-2
2014
475
101
107
none
Osborne, F., Motta, E. (2014). Understanding research dynamics. In Semantic Web Evaluation Challenge: SemWebEval 2014 at ESWC (pp.101-107). Springer Verlag [10.1007/978-3-319-12024-9_13].
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/381559
Citazioni
  • Scopus 4
  • ???jsp.display-item.citation.isi??? 4
Social impact