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Currently, the smart camera network (SCN) has already been deployed and the image processing algorithms have been embedded on it. However, the central API is in development process, therefore it is not possible to perform an evaluation of the complete system. Moreover, the WiseNET ontology may be evaluated. According to Hitzler et al. the accuracy criteria is a central requirement for ontology evaluation [14]. This criteria consists on verifying if the ontology accurately captures the aspects of the modeled domain for which it has designed for. The WiseNET ontology development was based on some competency questions (see Table 1), therefore the evaluation consists on showing that those questions can be answered by the ontology. Listing 6 presents the queries to answer some competency questions. Those questions were selected because they involve aspects which are important in a Panoptes building such as: knowing how many spaces there are in the storeys, which doors a smart camera monitors, how many people are in a space, at what time a person enter/leave a space and how much time a person stayed on a space. Question 1 (of Listing 6) was answered by getting all the elements aggregated by the building storeys. For answering question 2, the regions of interest (ROIs) in a camera’s field of view and their physical representation are obtained. Question 3 was answered by counting the number of ’person in space’ events in the specific space. Question 4 and 5 were answered by using the time interval entity of the event ’person in space’. The time interval entity has a beginning, end and duration (the duration is giving in a temporal unit).
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