Smart campus monitoring environments have highly potential security, behavior monitoring, individual interest identification, personal and group influence detection. Alignment on inherited quality and hobby that might be identified by the system to lead profession selection that can increases success rate of an individual. Smart system can help to take just-in-time decision for security issue and taking awareness for action. This paper illustrated ontology for smart system that having internet of things based architecture due to the continuous data process system and characteristic reporting that can be accessible by online. An ontological approach designed for the campus that include all possible specification and internal relationship. This design is modeled with graphical and logical presentation and theoretical explanation done by the based on the cause-effect relationship.
|Title of host publication||2019 4th MEC International Conference on Big Data and Smart City (ICBDSC)|
|Number of pages||4|
|Publication status||Published - 2019|
|Event||2019 4th MEC International Conference on Big Data and Smart City (ICBDSC) - Muscat, Oman|
Duration: 15 Jan 2019 → 16 Jan 2019
|Conference||2019 4th MEC International Conference on Big Data and Smart City (ICBDSC)|
|Period||15/01/19 → 16/01/19|