ANNEX C. In order to validate the generality and consolidation of the proposed model, we have also
analyzed if the scenarios specified in the literature selected in the systematic mapping, are
representable using the ontology. The complete analysis is depicted below.
Scenario 1-A scenario of smart space (smart meeting room). “On Tuesday morning, a presentation about
pervasive computing is scheduled to take place from 14:00-17:00 in the No.2 meeting room which is a
smart meeting room in the No.1 building. The day before the presentation, the system has sent the
meeting schedule including the title, the speaker, start time and location to the attendees by the mode of
sending message or email or calling a phone according to attendees' specific situation and predefmed
requirements…” [1] (see Fig. 1)
Fig. 1. A scenario of smart space (smart meeting room)
Scenario 2-Service provisioning. “Steve is a manager, who just finished a product presentation in a trade
fair and finds a “Web business meeting” service to remotely discuss some timely issues (find socially
related partners). The “availability” of the service must be 99% or above (meet location-aware QoS
requirement)…” [2] (see Fig. 2)
Scenario 3-Describing context-aware services. “John Pappas is an executive of an international
construction company, who works at the company department that resides in Athens. John is informed
that he will have to attend a meeting in Paris for a project he is currently involved in, so he activates his
electronic agenda entering the meeting date, place and scope to check his availability…” [3] (see Fig. 3)
Scenario 4-Prosumer scenario. “a particular individual has arrived in a city for the first time and that is
travelling along with his wife. That information can be obtained from the location of the mobile devices
and querying the context history database. Both devices have been located in the same bearings at the
same time (the system concludes through reasoning that these two individuals are located together in
the same place)…” [4] (see Fig. 4)
Scenario 5-Home scenario. “Daddy John carrying a cell phone has entered his house; the face recognition
system senses his presence and his location information get updated. When John moves into the
bathroom to take a shower or goes to his bedroom for a nap, his personal communication agent
interprets his current status by using the contexts acquired from various sensors and decides to forward
all phone calls to his voice mail box…” [5] (see Fig. 5)
Scenario 6-Getting Up scenario. “Mr. Kim sets the getting up time at 6:00 am, and goes to bed late. He
must go to his office early. The getting up application checks Mr. Kim’s getting up time, and provides an
alarm service at 6:00 am the next morning. Then the application opens the curtain to provide fresh
morning air and sunshine…” [6] (see Fig. 6)
Scenario 7-Health scenario. “John is affected by a chronic disease. Her wife Barbara and his daughter
Emily live with him and provide daily assistance services. John’s home is equipped with a context-aware
system, consisting of: monitoring devices (biomedical and environmental sensors), emergency and
ordinary call buttons, and a PC which collects and analyses sensed data in order to infer possible critical
situations and trigger corresponding alarms…” [7] (see Fig. 7)
Scenario 8-Location scenario. “The user is sleeping in the bedroom or taking a shower in the bathroom,
incoming calls are forwarded to voice mail box; when the user is cooking in the kitchen or watching TV in
the living room, the volume of the ring is turned up…” [8] (see Fig. 8)
Scenario 9-Healthcare domain. “The scenario begins with patient Bob who is in the emergency room due
to a heart attack. While not being Bob’s usual treating physician, Jane, a medical practitioner of the
hospital, is required to treat Bob and needs to access Bob’s emergency medical records from the
emergency room…” [9] (see Fig. 9)
Scenario 10-An online collaboration service scenario. “The agent in context tag in the library checks his
context and fetches some useful contexts e.g. language preferable (English), his module name, and
appreciate communication tool (Messenger) etc…” [10] (see Fig. 10)
Scenario 11-DAIDALOS scenario. “…As soon as Bart is in sufficient range, his RFID unlocks the car and
sets the car conditions to suit Bart. When he starts the car, the newscast session he was watching at
home resumes in audio only mode at his in-car multi-media system…” [11] (see Fig. 11)
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