UK Domain Categorisation (UKDC)
UK Domain Categorisation (UKDC) is a free service to help all .UK registrars who are also Nominet members to gain useful insights into their registrants’ domains by categorising them into industry sectors, and is subject to the general provisions of the .UK Registry-Registrar Agreement.
The appetite for information about domains and websites continues to increase, so we have built a model that aims to classify any business-owned website by industry sector. This data, supported by our Domain Analyser tool, helps Nominet members to identify the industry sectors that make up their domains under management (DUMs) as well as those that are under-represented. There are 24 industry sectors within the UKDC service.
On request, we can provide a CSV file of domains that have been categorised together with a summary document will provide statistics comparing their data with the whole registry as well as a glossary of terms used in both the documents.
Frequently Asked Questions
- How do I get UKDC data on my domains?
If you are interested in having your domains categorised please email us at [email protected].
- Is UKDC data available on SFTP?
We previously provided data to all members who had signed-up via a SFTP service. This is no longer available but we are continuing to provide UKDC data on request.
- Is it relevant to all members?
UKDC is available to members with active domains on their TAG(s).
- What is the Domain Analyser tool?
Domain Analyser is the tool Nominet uses to collect data, on a regular basis, on whether .UK domain names resolve, where they are hosted, whether they are used for email and whether a website is in place.
- Which categories can a domain fall into?
In the first instance a domain can fall into one of the following:
- No Content – so can be one of the following:
- no nameservers
- no ip
- no webserver
- webserver informational response
- webserver no content
- webserver bad redirect
- webserver client error
- webserver server error
- webserver abnormal response
- Parked – a parked domain
- Unable to Categorise – these are websites that we are unable to categorise into an industry sector and can be because of one of the following:
- insufficient content
- personal site
- Not Visited –
- the Domain Analyser tool has not yet visited this domain
- the Domain Analyser tool was blocked by the robots.txt policy of the website
- Categorised – the domain has been categorised into one or more of the industry categories below:
- Aerospace and Defence
- Agriculture, Forestry and Gardening
- Arts, Entertainment & Leisure
- Beauty & Perfume
- Education & Training
- Employment, Recruitment & HR
- Energy & Utility Suppliers
- Financial Services & Insurance
- Food Products & Services
- Furniture & Appliances
- Information Technology & Telecommunications
- Legal, Public Order & Security
- Mining & Drilling
- Political, Social & Religious
- Project Management, Marketing & Administration
- Publishing, Printing & Photography
- Real Estate
- Scientific & Engineering
- Textiles, Nonwovens & Fashion
- Tourism, Holiday & Accommodation
- Transportation, Logistics & Storage
- How did you choose these categories?
We chose these categories by starting with the UK Standard Industry Classification (SIC) which is very similar to the European NACE code. However, these are based on tax codes and don’t necessarily correspond to useful categories for the domain industry.
We therefore produced a list of 24 categories that can be mapped back to the high-level UK Standard SIC groups, and correspond to subject areas of businesses (e.g. food, automotive, health).
Together with colleagues from European registries and registrars, we have been developing these into a universal set of categories for domain classification called the Domain Industry Taxonomy (DIT) categories. More information will be made available at https://rrdg.centr.org/projects/standards/domain-industry-taxonomy/.
- How are the domains categorised?
Nominet undertook a project to manually classify a statistically significant number of domains by visiting the websites associated with them. These accurately categorised domains, along with their web pages, were then used to create a data set on which to train a neural network model. The model can then run over all domains and categorise those which have a website visited by the Domain Analyser tool.
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