An extensible and active semantic model of information organizing for the Internet of Things

Data management and information processing play the key roles in developing the Internet of Things (IoT). The requirements of a well-defined data model for IoT involve in six aspects: semantic supporting, active data extracting and explaining, flexibility and extensibility, enabling to manage massive and heterogeneous data, supporting formal organization, and solid mathematic-based theory. This paper aims to exploring an extensible and active semantic information organization model for IoT to meet the above requirements, and the primary idea is “Object-cored organizing data, event-based explaining data, and knowledge-based using data.” The proposed model involves two layers: the object layer and the event layer, and both of them are discussed in detail including conceptions, schema definitions, and the rule-based knowledge representation. Semantic reasoning can be supported by the knowledge base which involves in a set of reasoning rules on semantic relations among objects or among events correspondingly.