All Outputs (3)

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.