entityENTITIES - Semantic Relationships
Manage all your entities, including People, Organisations & Things. Create unlimited relationships of parents and children for ease of contextualisation.




Affectli encompasses the management and inter-relationships of various entities. The function of Entities is to enable interaction between people, organisations and things, by creating relationships between them or their interaction with Processes by creating relationships between Processes and Entities.

Think of an entity as fundamental building blocks that describe the structure; an entity type represents the structure of top-level concepts, such as customers or orders.
Classification is a process related to categorisation, the method by which ideas and objects are recognised, differentiated, and understood.


Semantic relationships are the associations that exist between the various types of entities within an organisation, grouped into five main categories:




Anything that is mechanical or physical but does not function as a person.



People can be described as the human element of your business. These entities have faces, names and are people who are mobile.




Within your organisation, there are various other imperative structures that influence your operations. These can either be supplier locations, warehouses, regional offices, service providers, vendors and product providers.


Classifications Manager


Create and assign classifications to multiple entities with a single click.


Custom Entities


Custom Entities are a type of entity used for creating custom lists for classification attribute lists and other lists used in the Affectli Platform. This could be a list of countries, or languages etc.




The semantic relationships between Entities allow all processes to fold in any of these elements when these are relevant to a process. By way of example, a process managing the measurement of customer experience quality, taps into any database entries that have a relationship to that customer such as network elements, location, service, device, application and similar as may be elaborated or modified by the Client at any time. Naturally the existence of these relationships also allows the elaboration of these parameters in the coherent representation of real time information or reports and analytics after the fact.

Visually, when the data is viewed as a site on a map with all the details of the site, the entities play an important role to bring context and relevance to play. The visualisation pin points the geographic site location, who the client is, what things are attached to the site, as well as the people associated with the site. These semantic relationships allow the viewer to even associate vehicle location to a particular site or branch or client location. Affectli Maps contains a real-time mapped representation of all tracked assets. You can either look at all the Sites or Entities or just a single selected Process or Entity. There are detailed icons embedded within the map, that illustrate different functionalities. You can visually comprehend where the Entities are and how many there are or where there is an issue, what the priority is, and even the cause of the issue, just by looking at the small icons.

Processes can also be linked to things, or people or organisations. You can see where the process was started, and what the live and historical status is of a particular issue or ticket associated with the dot on the map. This is a generation ahead of having ‘dots on maps’.



Affectli’s intelligent learning, advocates the old adage of what you put in, is what you get out. The more details and relationships created, the more intelligent and meaningful information is delivered by the platform.




The status and where desired outcomes of processes, whether of alarms or of any other process, has a geo-spatial dimension is represented geographically on live maps that provide data, based on the user’s needs and determinations. This allows for an intuitive reaction to emerging issues that can be easily detected from their mapped representation. Once a ‘general picture’ is captured by a map in its normal frame, data can be extracted by scrolling over icons, clicking on links that are automatically associated with the ongoing processes for the geo-location selected, and more information can be drilled into with the semantic relationship developed between a geo-location where a process is underway and its associated database entries: things, people and organisations. This ease of reference empowers the decision-maker with the information they need to make relevant and timely decisions.

Perception of environmental elements and events/processes with respect to time or space, the comprehension of their meaning, and the projection of their future status, is key to any user that consumes data with a purpose.




  • Navigate, search and filter entities on maps for visualisation and orientation:
  • View data according to the viewer’s group or permission settings
  • Custom layers giving context to the data
  • Base Layers and Custom Layers are able to be switched on and off
  • Measure distance area between pins which can be placed on entities
  • Entities on maps
  • Easily view all entities (thing/person/organisation) on maps
  • Search for specific entities and locate them on a map and see details for them
  • Geofence entities by adding custom layers


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