4 results

Visual comparison and exploration of natural history collections

Conference Proceeding
Graham, M., Kennedy, J., & Downey, L. (2006)
Visual comparison and exploration of natural history collections. In A. Celentano, & P. Mussio (Eds.), Advanced Visual Interfaces (AVI) 2006, Proceedings of the International Working Conference, 310-313. doi:10.1145/1133265.1133329
Natural history museum collections contain a wealth of specimen level data that is now opening up for digital access. However, current interfaces to access and manipulate this...

Ontology-Driven Automated Generation of Data Entry Interfaces to Databases

Conference Proceeding
Cannon, A., Kennedy, J. B., Paterson, T., & Watson, M. F. (2004)
Ontology-Driven Automated Generation of Data Entry Interfaces to Databases. In H. Williams, & L. Mackinnon (Eds.), Key Technologies for Data Management; Lecture Notes in Computer Science, 150-164. doi:10.1007/978-3-540-27811-5_15
This paper discusses an ontology based approach for the automatic generation of data entry interfaces to databases. An existing domain ontology is mapped to a system domain mo...

Visual Exploration of Alternative Taxonomies through Concepts

Journal Article
Graham, M., & Kennedy, J. (2007)
Visual Exploration of Alternative Taxonomies through Concepts. Ecological Informatics, 2, 248-261. https://doi.org/10.1016/j.ecoinf.2007.07.004
A graphical user interface is presented that allows users of taxonomic data to explore concept relationships between conflicting but related taxonomic classifications. Ecolog...

Research directions in data wrangling: Visualizations and transformations for usable and credible data

Journal Article
Kandel, S., Heer, J., Plaisant, C., Kennedy, J., Ham, F. V., Riche, N. H., …Buono, P. (2011)
Research directions in data wrangling: Visualizations and transformations for usable and credible data. Information Visualization, Octobe, 271-288. https://doi.org/10.1177/1473871611415994
In spite of advances in technologies for working with data, analysts still spend an inordinate amount of time diagnosing data quality issues and manipulating data into a usabl...