Name
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. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1007/978-3-319-12024-9_13 | Communications in Computer and Information Science |
Keywords | Field | DocType |
Scholarly data,Visual analytics,Data exploration,Semantic Web,Semantic technologies,Ontology population,Data mining,Data Integration | Data integration,Data science,Semantic technology,Abstraction,Data exploration,Computer science,Visual analytics,Semantic Web | Conference |
Volume | ISSN | Citations |
475 | 1865-0929 | 2 |
PageRank | References | Authors |
0.39 | 7 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Francesco Osborne | 1 | 206 | 33.72 |
| Enrico Motta | 2 | 4216 | 391.29 |