An Ontology Model for Smart Service in Vertical Farms – An OWL-S Approach

Saraswathi Sivamani, Hong-geun Kim, Myeongbae Lee, Jangwoo Park, Changsun Shin, Yongyun Cho
2016 International Journal of u- and e- Service, Science and Technology  
Recently, the evolution of ubiquitous computing has brought a breakthrough in network access and web based services including the agricultural field, which is integral to human living. In a ubiquitous vertical farm environment, context aware services display the context information in selecting the appropriate web service by identifying the state of the user and its surroundings. In this web enabled environment, establishing a context aware system for the vertical farm without the understanding
more » ... of domains gets complicated especially when shaping with the avails. The semantic web should enable users to locate, select, compose and monitor web-based services automatically. For a successful execution of such services in semantic web, the service needs to be grounded with the corresponding WSDL. To resolve these issues, our work includes the development of an OWL-S based ontology model to define the relationship between the domains and add classes needed for the model in every aspect of the service oriented system. Compared with any other semantic web service, OWL-S is more suitable for the Vertical Farming System in the ubiquitous computing. 162 Copyright ⓒ 2016 SERSC result. This paper presents an ontology for enabling semantic web services in a vertical farm system with the OWL-S approach. The concepts are identified in the vertical farm environment, keeping the services as a key. Background Agriculture in urban areas [7] have become a new trend, owing to vertical farming with pervasive computing. As the main significance of vertical farming is a complete automation without human interaction, the relationships are well defined with the help of Ontology. As the relationship revolves around the concepts, Gruber et al. [8] termed Ontology as a -formal, explicit specification of a shared conceptualization‖. Compared to the other context models [9], the ontology model has more advantage in building a context model, which is more popular for the semantic interoperability to exchange and share the context knowledge between the interfaces. Many existing research in vertical farming have introduced the ontologies for a better communication of the context information. Most of the research focus on the automation of services, most of which are focused on the context model [10, 11] . Others are primarily centered along the discovery enhancement in service annotations [12] . Web service discovery can be considered as the main focus in locating a suitable web service to accomplish the given purpose. More or less of the popular framework used in semantic web services is WSMO, OWL-S and WSDL-S. Compared to other web services [13], we find OWL-S to be more suited to the Vertical farm's ubiquitous environment. OWL-S is the ontology web language for semantic services. OWL-S is an enhancement of the DAML-S [14] . A Major advantageous feature of the OWL-S is that it has automatic web service discovery, invocation, composition and interoperability. The OWL-S ontology has three sub ontologies, service profile for advertising and discovering the service, service process that explains the service and grounding, and provides the integration of services. Despite these normal functions, to perform the service discovery, certain input, output, precondition, and effects are needed in the OWL-S. For this reason, similar parameters can be created in the OWL and directly linked with the Service class in the OWL-S ontology. Many such successful approaches have succeeded at achieving semantic interoperability seamlessly [15] . Adopting the overture, the domain specific ontology is made with the main concepts categorized together, which is described in more detail in the succeeding segment.
doi:10.14257/ijunesst.2016.9.1.18 fatcat:mv6rhrpzvfepdfahhduws3nzma