服务社会化、动态化、大规模，是物联网环境下服务的典型特征。本课题针对物联网环境下大规模动态自适应服务应用特点，探讨物联网服务的本质特征和规律，构建物联网环境下的服务理论体系。课题从物联网服务的社会化这一基本特征出发，探讨社会化服务中的信息演化规律，服务的自组织和服务系统构建的基础理论方法。研究内容包括：1)物联网环境中信息和服务的社会化特征、时空特征及其表述方法和信息社会化演化过程建模；2)基于邻域搜索和马尔科夫预测的物联网服务的自动发现方法、基于本体的服务表示和领域模型、基于对等网的智能服务自组织模式；3)动态自适应的物联网服务系统构建模式，包括服务组合的评价，基于协同竞争的服务选择，服务组合的多目标优化方法等。课题深入探讨物联网服务的本质，解决物联网智能服务中的基础理论问题，是信息系统研究的前沿，也是物联网理论的发展和服务科学理论在物联网环境下的拓展。

Socialization, dynamic and mass scale, are typical characters of services in Internet of things.In this project, we aim to probe the nature and princeple of IoT services, and try to construct an IoT service theory system in align with the main traits of services, i.e. mass, dynamic and adaptive. we will start our research from the nature of service socialization, discuss information transform processes as well as theories for self-organization of services and the constrction of service systems. Main contents of this research include:1)Features of information and service socialization in IoT, their tempral and spatial models, and information evolving processes modeling; 2)automatic service discovery methods in IoT based on neiborhood serching and markov process, service description and domain model based on ontology, and a peer-to-peer network based self-organizing model for intelligent services; 3)dynamic, adaptive IoT service system construction methods, include service combination evaluation, collaborative-competitive service selection model, and multicreteria optimzation methods in service combination. This project aims to probe deeply the essential nature of IoT services and solve a set of fundmantal theoretical problems of IoT intelligent service. This research touches the forefront of Information systems theory, develops the IoT and is also an extension to service science in IoT environment.