Page 1: DAFNI Ontologies Survey

In general terms, an ontology describe a set of concepts and categories in a domain, showing their properties and the relations between them. Many organisations are working on producing ontologies, or taxonomies, schemas, knowledge graphs etc.  This is for the purpose of knowing what they have so that they can improve it, maintain it better, invest appropriately, manage risk, share with others, etc. Whether they use ontologies for descriptions of assets, operations, data, organization structures, production systems, or something else, there is value in knowledge for decision support. 

This survey attempts to capture information about how much progress there is on ontology use in infrastructure systems: energy, transport, water, waste and telecommunications.  We have discovered a variety of ontologies from literature review and industrial partners already, so this is an opportunity to provide an update.  Please avoid telling us your organisation name or the name of any system that would identify you organisation.  

Results will be published on the DAFNI website. If you want to be sent the results when they are ready you will need to provide an email at the end of the survey. 

1.1. Does your work or research involve ontology creation or the use of existing ontologies? Required
3.3. What is the size of your company? Required
4.4. Do you or your company use one or more particular ontologies? Required

Your answer should be no more than 400 characters long.

5.5. Does any of your work or research on ontologies fall into one of more of the following domains? Required

Your answer should be no more than 400 characters long.

Your answer should be no more than 400 characters long.

Your answer should be no more than 400 characters long.

8.8. Do you utilise any of the following existing foundational ontologies in your work? Please select multiple answers if appropriate.

Your answer should be no more than 400 characters long.

9.9. Do you utilise any of the following existing device ontologies in your work? Please select multiple answers if appropriate.

Your answer should be no more than 400 characters long.

10.10. Do you utilise any of the following existing ontologies in your work? Please select multiple answers if appropriate.
11.11. Ontologies can be described as endurant, where concepts can be defined independent of time (and thus is identical at any point in time), or perdurant, where concepts must be defined as dependent on time (existing only partially at any given point in time). Endurant and perdurant ontologies are sometimes called 3D and 4D ontologies, respectively.  Are the ontologies that you create or work with predominantly endurant or perdurant?

Your answer should be no more than 400 characters long.

12.12. Is your use of ontology linked to a particular type of data or database? Examples include traffic datasets, urban observatory datasets, company structure datasets, etc.

Your answer should be no more than 400 characters long.

13.13. Do the ontologies you use capture spatial or temporal scale, or level of detail in object representation?

Your answer should be no more than 400 characters long.

14.14. Do the systems or processes you represent have important interactions across scales?

Your answer should be no more than 400 characters long.

15.15. How do you validate or enforce compliance with your ontologies? (Tick all that apply)

Your answer should be no more than 400 characters long.

16.16. Would you like to find out more about the DAFNI platform and services?

Please enter a valid email address.

Your answer should be no more than 100 characters long.

17.17. Would you be willing to being contacted through email to further discuss your work with ontologies?

Please enter a valid email address.

Your answer should be no more than 100 characters long.