Young Sung Son

Ontology-Based Smart Home Solution and Service Composition

Given the diversity of home environment, appliances, and residents, the applications for smart homes must be configurable and adaptive. Instead of programming each household, we propose an ontology-based framework to facilitate the automatic composition of appropriate applications. The system composes appropriate services depending upon the available equipments in each individual household automatically. Meanwhile, it dynamically adjusts the environment parameters to match the customer needs and to encompass the available resource. With its supporting on customized function template editing, customers are able to specify their usual behavior templates as different mode.

Service-oriented smart home applications: composition, code generation, deployment, and execution

A smart home usually has a variety of devices or home appliance, instead of designing software for a specific home, this paper proposes a service-oriented framework with a set of ontology systems to support service and device publishing, discovery of devices and their services, composition of control software using existing control services that wrap devices, deployment, and execution of the composed service in an computing environment, monitoring the execution, and recovery from device failure. The ontology systems specify semantic information about devices, services, and workflows used in various smart home, and users can compose and recompose services for their specific needs. New devices, workflows, and services can be added into ontology. Most of the steps in this process can be automated including code generation. For example, service composition will be carried out in three steps: abstract workflow design, function construction, and device discovery, and different codes can be generated for different computing platforms such as Java and Open Services Gateway initiative environments. In this way, a variety of smart home can be constructed rapidly using the framework by discovery and composition using existing services and workflows. This paper illustrates this framework using a media control example to illustrate the ontology, discovery, composition, deployment, execution, monitoring, and recovery.

A code generation and execution environment for service-oriented smart home solutions

As smart home environment gets more and more diverse with newly evolved devices and applications, instead of programming each household, there is a need for a knowledge-based framework to facilitate the automatic composition of appropriate services. The framework should address the issues of finding suitable devices automatically, composing feasible plans, and making the composed plans executable. In this paper, we propose a way to compose the executable plans for the smart home devices based on ontology-base process models. A code generator and an execution environment are then discussed. The generated code can be deployed and scheduled in the execution environment. It can also query the ontology and dynamically find any possible replacements from registered devices at runtime. To demonstrate the framework, an experiment with a simple application is included in the paper.

Progressive monitoring and treatment planning of diabetes mellitus in smart home environment

This paper describes a method and a platform for generating a treatment plan for a patient with a chronic disease such as diabetes. The planning process considers the users living environment so the doctors prescription can be easily implemented as a monitored activity. The process utilizes OWL representation for the knowledge modeling and Answer Set Programming for managing the patients goals.

Service platform for context reasoning in home environment

In this paper, we introduce a service platform for context reasoning to be used in various home applications. The main functional idea of the platform is to collect and combine data from individual services e.g. Google weather and location and make intelligent decisions based on semantic modeling and ontologies. Two example applications presented here are smart home heating and ubiquitous home care for a diabetes patient.