The Research And Implementation On Dynamic Business Composition Based On Smart Home Of Web Of Things

As the development of WoT (Web of Things), so many kinds of smart home that have emerged recent years enrich the data in the WoT platform. Meanwhile, people wish to gain more convenience from technology as our living standard improves. Therefore, more researchers are focusing on how to make flexible use of all the kinds of web services to establish a system to not only facilitate users but also understand user demand. On the other side, more and more research related to web service selection and composition emerges, and web service technologies become normalized gradually. In this situation, the majority of reserachers are looking forward to apply these technologies to new areas, and produce more efficient features.Our research is based on WoT smart home environment. We design and implement a whole web service composition and invocation framework based on environment information and user intention. In our framework, we develop two modes which are regular mode and command mode. Regular mode will carry out dynamic aggregation based on rules library. Command mode will receive commands from users. After command parsing, service selection and service composition, it will generate the final services sequence.Our research will mainly discuss following problems:Abstraction and establishment of services in smart home environment, environment and text semantic parsing, working principle of regular mode which includes establishment of rule library, monitor and execution, working principle of command mode which includes service selection and service composition. These sections will collaborate and constitute the whole service aggregation of smart home system.Our system will be involved with many parts of service aggregation. But we put emphasis on service selection and composition based on smart home environment. In these two parts, we apply a model which is used in information retrieval to service selection and state model to composition. Besides, our research will also discuss semantic analysis methods which are used to analyze environment and text input. With application of these technologies, we build a smart home system to efficiently provide service and intelligently understand user intentions.