Time Event Ontology
The TEO is an OWL ontology designed for representing the temporal relations among events and time stamps. The TEO is an extended version of the Clinical Narrative Temporal Relation Ontology (CNTRO), which is our effort on representing basic temporal relations among events extracted from clinical narratives. The TEO aims to model time event relationships in general, not specific to the clinical or biomedical domain. Figure 1 shows a high-level overview of the TEO. All the TEO concepts were derived from the Basic Formal Ontology (BFO) to ensure upper-level interoperability with other ontologies. A TEO event is equivalent to the BFO term ‘processual_entity’ that is defined as: “an occurrent that exists in time by occurring or happening, has temporal parts and always involves and depends on some entity”. Events could be administration of medication (e.g., a vaccine), follow-up lab testing, patient complaints, adverse events with different symptom outcomes, etc. Time stamps of when these events occurred can be represented if known via the hasTime relation. Duration information of a particular event (if it spanned minutes, hours, days) or between events can be annotated, as well as the temporal relationships between events implied throughout the narrative through use of words such as “before”, “after”, “equal”, etc. Granularity of a specific time stamp or frequency of the re-occurred time can also be modeled. In addition, the TEO also covers periodic time interval which models the time of the events that repeat themselves (e.g., “Exercise 20 minutes 3 times/day starting from July 21 for 2 weeks”). It semantically defines specific temporal regions such as holidays, weekdays, etc, as well as specific temporal intervals such as days, weeks, months, today, tomorrow, etc.
Source forge: https://sourceforge.net/p/teo-ontology/home/Home/