]> A description of a basic action that the user carries out. This usually points to a verb class of a lexical database ontology , e.g. Wordnet (synset, top level concept human activity/action verb). This represents the output of the dependency function (sfsn:function property) and links it to an sfsn:SenEvntProperty. Dependency function. Points to an external resource that calculates the dependent property, sensor-event or human-activity from multiple independent sensor-event properties. This represents an input of the dependency function (sfsn:function property) and links it to an sfsn:SenEvntProperty. Description of the location (physical place) where the user carries out his action. In the case of an action that changes the location from one to another (motion verbs, e.g. walk), this is the starting place. In the case of an action that changes the location from one to another (motion verbs, e.g. walk), this is the ending/arriving place (e.g. "transfer by bus from the airport to the city center"). This location is only used if the starting/departing location is set. Otherwise, the location_1 property is used (e.g. "arrive at the training camp"). Description of how the action is carried out (method/means). This usually points to a word class of a lexical database ontology; it describes by what means the action is carried out, e.g. transportation (car, bus, train, plane) or a tool (PC, notebook, PDA, mobile phone), or can also describe any other object of the action, it is a Wordnet top level concept entity. Specifies what has been observed by a sensor. It points to a class in a sensor ontology (the event can either be specified by the sensor or the observation property, or both). This property specifies the predecessor of the event. Refers to a sensor-event property sfsn:SenEvntProperty (of an sensor-event sfsn:SenEvnt) that carries an actual data-value from the sensor. Specifies the physical sensor that has produced the sensor event. It can point to a class in an applicationor domain-specific ontology or public and universal ontology. Human-activity events can be hierarchically arranged. This property specifies a subordinate event. Sensor events can be hierarchically arranged. This property specifies a subordinate event. Sensor events can be hierarchically arranged. This property specifies a subordinate event. This property specifies the successor of the event. Human-activity events can be hierarchically arranged. This property specifies the superordinate event. Sensor events can be hierarchically arranged. This property specifies the superordinate event. This property specifies the date and time when an event (Human-activity or sensor) ends. The duration of an event (Human-activity or sensor). The unique name of the sensor-event property. This property specifies the date and time when an event (Human-activity or sensor) starts. Description of a pair of dependent and independent property values. Describes a person's evaluation result about a dependency. Since dependencies can be found and learned automatically, it becomes necessary to verify whether the dependency is suitable or not. A re-learning can then be carried out based on evaluation results from expert users. This is the representation of a human activity that is carried out by a person at a single location, or between two places (e.g. moving action). The activity is defined by only one action verb/meaning (e.g. a synonym set: synset in Wordnet lexical dictionary). Describes the dependency between a human-activity event and independant sensor event-properties. Description of a physical locations within the user’s environment, such as home, working place or other places that are related to his activity. The sensor event describes a moment in time where some meaningful information has been extracted from the measured sensor-values. sfsn:SenEvnt can be related to a human-activity event or other sensor events. Describes the dependency between a sensor event and independant sensor event-properties. Represents an actual sensor measurement/observation result. Describes the dependencies between an dependenant sensor event-properties and independant sensor event-properties. Represents either an individual person, a group/profile of people.