Ontology description
The DPO ontology represents higher-level 'presence'-related information for an agent, as derived from low-level device sensor data streaming in from their devices. The term presence refers both to digital presence (e.g., online status) as well as to physical presence (e.g., current location, current activity) and therefore this ontology differs from other vocabulary dealing only with digital presence.
Presence information, such as categories of places, activities and environmental conditions, have the characteristic of recurrence (frequently or not so frequently). For example, a location can be revisited, an activity can be carried out multiple times, an online status can be selected repeatedly, etc. Thus, DPO presence elements are independent of a particular point in time. The DPO thus serves as a bridge between raw, sensor context data (as supported by DCON) such as a detected temperature value of 13.2 degrees, and interpreted 'fuzzy' presence-related elements provided by DPO, such as its mapping to the dpo:Mild instance for dpo:Temperature. In addition, presence elements can also be shared with other agents (e.g. sharing an activity online) by transforming them into DLPO instances.
To facilitate the above mapping, DPO also provides vocabulary for setting ranges for the mappings (e.g. between 10 and 15 degrees, map to dpo:Mild). The provided DPO instances (of which dpo:Mild is an example), all have these ranges defined. DPO instances range from person moods and online availabilites, types of places (e.g. workplace, residence) to Activities (e.g. shopping), weather conditions (e.g., snowing) and altitude (e.g., low elevation). For a full list consult with the instances TRIG file (provided alongside the vocabulary TRIG file) or refer to the visualisation (lower part of the figure). Examples of how DPO can be used in conjunction with DCON can be found in the related publication by SCERRI.
