An Ontology Based Approach towards End User Development of IoT
Narayan Chandra Debnath, Shreya Banerjee, Giau Ung Van, Phat Tat Quang, Dai Nguyen Thanh · EPiC series in computing · 2022
Trigger-Action-Programming (TAP) is a most widely used End User Development (EUD) tool for Internet of Things (IoT). However, end users often cannot differentiate between distinct kinds of triggers and actions. They also make erroneous combinations of those. Consequently, inconsistencies, and bugs are exhibited in behavior of IoT objects. To resolve this issue, end users need to be guided to interpret different triggers, actions and their combinations effectively. In this case, precise representation of temporal and contextual aspects of triggers and actions can assist. Moreover, vast and growing numbers of IoT objects as well as increasing numbers customized rules create scalability issues. To address these drawbacks, this paper has proposed an upper level ontology named as Trigger Action Ontology (TAO) that provides meta rule semantics for TAP. The contribution of proposed ontology specification is to present formal semantics of temporal and contextual aspects of triggers and actions. Further, the ontology is implemented in Protégé. In addition, the expressiveness of the proposed ontology is illustrated using a suitable case study.