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Author's repository of research publications and other research outputs Exploring scholarly data with Rexplore . Conference or Workshop Item
| Content Provider | Semantic Scholar |
|---|---|
| Author | Osborne, Francesco Motta, Enrico Mulholland, Paul |
| Copyright Year | 2018 |
| Abstract | Despite the large number and variety of tools and s ervices available today for exploring scholarly data, current support is still very limited in the context of sensemaking tasks, which go beyond stand ard search and ranking of authors and publications, and focus instead on i) u derstanding the dynamics of research areas, ii) relating authors ‘semantically’ (e.g., in terms of common interests or shared academic trajectories), or iii) performing fine-grained academic expert search along multiple dimensions. T o address this gap we have developed a novel tool, Rexplore, which integrates s atistical analysis, semantic technologies, and visual analytics to provide effec tiv support for exploring and making sense of scholarly data. Here, we describe t he main innovative elements of the tool and we present the results from a taskcentric empirical evaluation, which shows that Rexplore is highly effective at pro viding support for the aforementioned sensemaking tasks. In addition, thes e r ults are robust both with respect to the background of the users (i.e., expert analysts vs. ‘ordinary’ users) and also with respect to whether the tasks a re elected by the evaluators or proposed by the users themselves. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://oro.open.ac.uk/39160/1/iswc2013_osborne.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
