Charlie Furniss

We have been hard at work improving our Knowledge Graph as a Service product 
Data Graphs [https://datagraphs.com] - in fact it is in a state of continuous
improvement. We have rolled out a number of new features in the first quarter of
2022, and here is a brief roundup on what they are:

Advanced search
Data Graphs Advanced Search feature allows you to build complex queries by
chaining and grouping a series of boolean and numeric expressions. For example
for finding a set of concepts in the graph where they are of Type A and Type B
or Type C, with a date property after a specified date, and a property equal to
some specified value. These searches are available in both the Data Graphs API
and now in the app too.

Saved searches
Saved search enables users to label, store and recall search criteria – great
when you are regularly using complex queries, particularly with Advanced Search
where building up items and groups can be time consuming and you want to return
to the same search results later.

Custom validation rules
When creating a property, custom validation allows you to choose from a set of
configurable rules that can be applied to certain data types and used to control
the property’s data, for example an age limit, an expiry date or a control on
input text. These rules include min/max characters (for text, keyword types),
regular expressions, before/after date (for date, dateTime) and min/max value
(for integer, decimal, latitude, longitude). You can also define cardinalities
on arrays and relationships in the graph.

Enum data types
The new enum data type allows you to create a property with a predetermined list
of options, from which users choose when setting its value. This will be useful
for any field whose value you want to limit to a small controlled vocabulary
that you may not want in your graph as entities in their own right. In the Data
Graphs Concept Editor the enum options are presented as a drop-down list on the
property.

Pre-commit web hooks
Data Graphs pre-commit web hooks allow you to perform a remote impact assessment
of a given event, for example, merging two Concepts, or deleting a Concept when
integrated with some target business system. When one of these actions occurs,
Data Graphs makes an HTTP request with the event’s details in the payload to an
endpoint in your environment, allowing you to analyse the downstream impact of
this change and respond by either accepting or declining the event or by
providing a warning (as illustrated). A full integration of these at Cochrane
has been discussed in this case study here
[https://datalanguage.com/blog/data-graphs-at-cochrane-a-case-study].

Improved geospatial visualisations
As well as the default map view of geospatial data, you can now view concepts
geospatially on dark, light, outdoors, and satellite views with automated entity
clustering based on the zoom-level of the map:

News, features and updates about our product Data Graphs. Find out how this intuitive knowledge graph product is easy to setup and connect. Brought to you from the team that was foundational in the earliest large scale knowledge graph projects in the UK.

Blogs by Charlie Furniss