Rhizomer is a web application that facilitates publishing and also exploring Semantic Web data (and particularly Linked Data).
With Rhizomer, lay users can explore datasets performing the 3 basic data analysis tasks proposed by Shneiderman:
- Overview: get the full picture of the data set at hand.
Rhizomer applies the Global Navigation interaction pattern implemented as navigation bars (at the top), automatically generated from the ontologies and taxonomies structuring the dataset. There are also other components providing overview: site map, site index and treemaps.
- Zoom & Filter: zoom in on items of interest and filter out uninteresting items.
The choice in this case is Faceted Navigation. Once we have zoomed by selecting the kind of things we are interested in from the navigation bar, facets help users filter out those that are not interesting. Facets are also generated automatically and feature pivoting to switch among faceted views.
- Details: after zooming and filtering the user arrives to the concrete resources of interest.
At this point, the user can get the details for those resources. This is implemented as a list of properties and values plus pluggable specific visualisations tailored to the kind of resource at hand, e.g. a map for geolocated resources.
There is a new version of Rhizomer, which is work in progress, with a new architecture based on an API using Spring and a client Web application using Angular.
More details: https://rhizomer.rhizomik.net/about
This version is no longer available though its source code is still available from: https://github.com/rhizomik/rhizomer
Running examples of Rhizomer on top of different datasets:
Brunetti, J.M.; Garcia, R.; Auer, S.
International Journal of Semantic Web and Information Systems, Vol. 9, No. 1, pp. 1-20. IGI Global, 2013
ISSN 1552-6283 / DOI: 10.4018/jswis.2013010101
Facets and Pivoting for Flexible and Usable Linked Data Exploration
García, R.; Brunetti, J.M.; López-Muzás, A.; Gimeno, J.M.; Gil, R.
1st International Conference on Web Intelligence, Mining and Semantics, WIMS'11,
May 25-27, 2011, Sogndal, Norway
International Conference Proceedings Series, ACM
ISBN 978-1-4503-0148-0 / DOI: 10.1145/1988688.1988710
García, R.; Gimeno, J.M.; Perdrix, F.; Gil, R.; Oliva, M.; López, J.M.; Pascual, A.; Sendín, M.
World Wide Web, Vol. 13, No. 1-2, pp. 143-167. Springer, 2010
ISSN 1386-145X / DOI:10.1007/s11280-009-0076-2
García, R.; Gimeno, J.M.; Perdrix, F.; Gil, R.; Oliva, M.16th International Conference on Knowledge Engineering and Knowledge Management Knowledge Patterns, EKAW'08
Lecture Notes in Computer Science, Vol. 5268, pp. 404-418. Springer-Verlag, 2008
García, R.; Gimeno, J.M.; Perdrix, F.; Gil, R.; Oliva, M.
1st World Summit on the Knowledge Society, WSKS'08
Lecture Notes in Artificial Intelligence, Vol. 5288, pp. 385-394. Springer, 2008
García, R. and Gil, R.
To be published, IntraWebs 2006
World Wide Web Conference, 2006
García, R., Gil, R. and Delgado, J.
OTM Confederated International Conferences, CoopIS, DOA, and ODBASE 2004
Lecture Notes in Computer Science, Vol. 3291, pp 689 - 704. Springer-Verlag, 2004