Semantics-Based Complex Event Processing for RFID Data Streams

RFID (Radio Frequency Identification) technologies have dramatically lowered the cost of data acquisition and have enabled applications to constantly analyze and execute complex operations in real-time. However the technology poses many new challenges on current data management systems for turning this data into RFID applications and initiates the logic built into the system of real-time identifying, locating, tracking and monitoring physical world. In this paper we present the semantics-based CEP (Complex Event Processing) infrastructure on hierarchical data model for the capture, filtering and automatic transformation RFID data, and provide complex event detection patterns and algorithms for the generation of business logic semantic information.