Outputs (5)

Antipattern comprehension dataset (2019)
Data
Hou, T., & Chapman, P. (2019). Antipattern comprehension dataset. [Dataset]. https://doi.org/10.17869/enu.2019.2275783

Comprehension of justifications is known to be difficult for even experienced ontology engineers, and much more so for other stakeholders. In the paper associated with this data set, we presented two methods for displaying justifications using concep... Read More about Antipattern comprehension dataset.

Measuring perceived clutter in concept diagrams dataset (2019)
Data
Hou, T., & Chapman, P. (2019). Measuring perceived clutter in concept diagrams dataset. [Dataset]. https://doi.org/10.17869/enu.2019.2275800

Clutter in a diagram can be broadly defined as how visually complex the diagram is. It may be that different users perceive clutter in different ways, however. Moreover, it has been shown that, for certain types of diagrams and tasks, an increase in... Read More about Measuring perceived clutter in concept diagrams dataset.

Debugging Ontologies Dataset (2019)
Data
Hou, T., & Chapman, P. (2019). Debugging Ontologies Dataset. [Dataset]. https://doi.org/10.17869/enu.2019.2275806

Visualization has been widely used for the representation of ontologies. However, to the best of our knowledge, visualization has been little employed in ontology debugging. Effective ontology debugging is crucial for engineers and domain experts to... Read More about Debugging Ontologies Dataset.

Building Sustainability Assessment Method (BSAM) - for Countries in sub-Saharan region (2019)
Data
Olawumi, T., & Chan, D. W. (2019). Building Sustainability Assessment Method (BSAM) - for Countries in sub-Saharan region. [Dataset]. https://doi.org/10.17632/jvjm5h8md3.1

This repository contains the full documentation for the BSAM scheme (green rating system) for countries in the sub-Saharan region of Africa. The BSAM scheme forms part of a research project funded by the Sustainable City Lab and the Department of... Read More about Building Sustainability Assessment Method (BSAM) - for Countries in sub-Saharan region.

Rich Data for Wind Turbine Power Performance Analysis (2019)
Data
Davison, B. (2019). Rich Data for Wind Turbine Power Performance Analysis. [Dataset]. https://doi.org/10.13020/1etn-1q17

This dataset was created in order to support comparative analyses concerning the relationships between meteorological parameters and wind turbine power output. It addresses some of the limitations of existing datasets such as those compiled for comme... Read More about Rich Data for Wind Turbine Power Performance Analysis.