A Novel Pattern for Complex Event Processing in RFID Applications

Autor:	Tao Ku, Ci Xing Lv, Kun Yuan Hu, Yun Long Zhu
Rok vydání:	2008
Předmět:	Identification (information) Data processing Operator (computer programming) Hierarchy (mathematics) Event (computing) Process (engineering) Computer science Complex event processing Data mining computer.software_genre Semantics computer
Zdroj:	Enterprise Interoperability III ISBN: 9781848002203 IESA
DOI:	10.1007/978-1-84800-221-0_47
Popis:	This study investigates Complex Event Processing (CEP) Pattern on Radio-Frequency Identification (RFID) applications. RFID technolgy has brought tremendous benefits for the business by incorporating RFID data into supply chain planning and business processing, however, this progress has also raised important problems for RFID data processing. How to mine the signification information from RFID events is a challenge in RFID applications. In this paper, we take an CEP Pattern-oriented approach to process RFID data. A novel event pattern based on semantics operator is proposed. A formalization event hierarchy is used to model complex event with the event ontology, and provides abstract hierarchical views allowing us to view the system activities at different levels. Several complex event patterns are proposed based on semantic event operators. An algorithm is performed to test reorganization performance of patterns, a rule-based method is used to recognize efficiently on primitive event and composite event. The results showed that the advantage of the proposed complex event pattern approach is remarkable. It is concluded that the method of CEP pattern can simplify and improve RFID application.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::4c6ea7685a4cd1271afc69e0403c1817 https://doi.org/10.1007/978-1-84800-221-0_47 Zobrazit plný text záznamu