Developing a core ontology for taxonomic data.
Conference Proceeding
Kennedy, J., Gales, R., Hyam, R., Kukla, R., Wieczorek, J., Hagedorn, G., …Vieglais, D. (2006)
Developing a core ontology for taxonomic data. In L. Belbin, A. Rissoné, & A. Weitzman (Eds.), Proceedings of TDWG (2006), St Louis, MI
Over recent years several sub-groups within the Taxonomic Databases Working Group (TDWG) have developed models and exchange standards to facilitate data sharing within the tax...
Developing Visualisations to Enhance an Insider Threat Product: A Case Study
Conference Proceeding
Graham, M., Kukla, R., Mandrychenko, O., Hart, D., & Kennedy, J. (2021)
Developing Visualisations to Enhance an Insider Threat Product: A Case Study. In 2021 IEEE Symposium on Visualization for Cyber Security (VizSec) (47-57). https://doi.org/10.1109/VizSec53666.2021.00011
This paper describes the process of developing data visualisations to enhance a commercial software platform for combating insider threat, whose existing UI, while perfectly f...
Converting an existing taxonomic data resource to employ an ontology and LSIDs.
Conference Proceeding
Kennedy, J., Gales, R., & Kukla, R. (2006)
Converting an existing taxonomic data resource to employ an ontology and LSIDs. In L. Belbin, A. Rissoné, & A. Weitzman (Eds.), Proceedings of TDWG (2006), St Louis, MI
Data sharing is fundamental to biodiversity and taxonomic data applications, however previous attempts at developing mechanisms to facilitate sharing within the community have...
A standard data model representation for taxonomic information.
Journal Article
Kennedy, J., Hyam, R., Kukla, R., & Paterson, T. (2006)
A standard data model representation for taxonomic information. OMICS, 10, 220-230. doi:10.1089/omi.2006.10.220
The names used by biologists to label the observations they make are imprecise. This is an issue as workers increasingly seek to exploit data gathered from multiple, unrelated...
Pattern browsing and query adjustment for the exploratory analysis and cooperative visualisation of microarray time-course data.
Conference Proceeding
Craig, P., Cannon, A., Kennedy, J., & Kukla, R. (2010)
Pattern browsing and query adjustment for the exploratory analysis and cooperative visualisation of microarray time-course data. In Y. Luo (Ed.), Cooperative Design, Visualization, and Engineering, 199-206. https://doi.org/10.1007/978-3-642-16066-0_30
This paper presents work to support collaborative visualisation and data analysis in the microarray time-series explorer (MaTSE) software. We introduce a novel visualisation c...