Chang Ho Yun, Jong Won Park, Hae Sun Jung, Yong Woo Lee

KIPS Transactions on Computer and Communication Systems, Vol. 6, No. 6, pp. 281-288, Jun. 2017
10.3745/KTCCS.2017.6.6.281,   PDF Download:
Keywords: Smart-city, Context-aware Computing, Semantic Service Discovery, Semantic Matchmaking, Ontology
Abstract

In Smart-cities, various types of integrated services must be linked to provide services to applications. Therefore, flexibility must be ensured between services so that various services can be efficiently provided. In order to secure the flexibility among services, it is very important to have a function to dynamically discover and invoke a desired service by searching for a semantic service by reflecting a recognized context through real-time context-aware in smart-cities. To date, quite a number of semantic service discovery techniques have been developed. However, they have not been verified as suitable for use in the smart-city domain. In this study, we tried to verify the existing ones to use a suitable one. We tested most of existing semantic service discovery techniques, but we found that none of them is suitable to our research. Therefore, we developed our own semantic service discovery technique. This paper introduces our work and presents the performance evaluation results that demonstrate that our developed works well and show good performance. For the performance evaluation, the experimental system was actually constructed and the real performance was measured. In the experiment, we implemented the semantic service discovery scenario that dynamically searches and calls the services needed to provide fire accident management services in smart cities.

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