A comparison of techniques for name matching
Journal Article
Peng, T., Li, L., & Kennedy, J. (2012)
A comparison of techniques for name matching. GSTF journal on computing, 2,
Information explosion is a problem for everyone nowadays. It is a great challenge to all kinds of businesses to maintain high quality of data in their information applications...
VIPER: a visualisation tool for exploring inheritance inconsistencies in genotyped pedigrees
Journal Article
Paterson, T., Graham, M., Kennedy, J., & Law, A. (2012)
VIPER: a visualisation tool for exploring inheritance inconsistencies in genotyped pedigrees. BMC Bioinformatics, 13/8, https://doi.org/10.1186/1471-2105-13-S8-S5
Pedigree genotype datasets are used for analysing genetic inheritance and to map genetic markers and traits. Such datasets consist of hundreds of related animals genotyped for...
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...
A rule based taxonomy of dirty data.
Journal Article
Li, L., Peng, T., & Kennedy, J. (2011)
A rule based taxonomy of dirty data. GSTF journal on computing, 1(2), 140-148
There is a growing awareness that high quality of data is a key to today’s business success and that dirty data existing within data sources is one of the causes of poor data ...
BioVis 2011 Conference Proceedings.
Conference Proceeding
(2011)
BioVis 2011 Conference Proceedings. In J. Kennedy, & J. Roerdink (Eds.), BioVis 2011 Conference Proceedings
The rapidly expanding field of biology creates enormous challenges for computational visualization techniques for enabling researchers to gain insight from their large and hig...
Achieve semantic-based precise component selection via an ontology model interlinking application domain and MVICS.
Conference Proceeding
Li, C., Liu, X., & Kennedy, J. (2010)
Achieve semantic-based precise component selection via an ontology model interlinking application domain and MVICS. In Proceedings of the 22nd International Conference on Software Engineering and Knowledge Engineering (SEKE'10)
Improving data quality in data warehousing applications
Conference Proceeding
Li, L., Peng, T., & Kennedy, J. (2010)
Improving data quality in data warehousing applications. In J. Filipe, & J. Cordeiro (Eds.), Proceedings of the 12th International Conference on Enterprise Information Systems, 379-382. https://doi.org/10.5220/0002903903790382
There is a growing awareness that high quality of data is a key to today’s business success and dirty data that exits within data sources is one of the reasons that cause poor...
A Multiple Viewed Interrelated Ontology Model for Holistic Component Specification and Retrieval
Conference Proceeding
Li, C., Liu, X., & Kennedy, J. (2009)
A Multiple Viewed Interrelated Ontology Model for Holistic Component Specification and Retrieval. In S. Abrahão, J. Verner, T. Jiang, A. Kiumi, T. Kim, & D. Ślęzak (Eds.), Advances in Software Engineering. ASEA 2009 (50-60). https://doi.org/10.1007/978-3-642-10619-4_7
Despite the success that Component-Based Development has achieved so far, component mismatch remains as a major hurdle for wider and smoother component reuse due to the lack o...
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...
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...