Event Query Processing in EPC Information Services

Author

Nguyen, Tuyen ; Lee, Young-Koo ; Jeong, Byeong-Soo ; Lee, Sungyoung

Author_Institution

Dept. of Electron. & Inf., KyungHee Univ., Seoul

fYear

2007

fDate

16-18 Dec. 2007

Firstpage

159

Lastpage

166

Abstract

Radio frequency identification (RFID) technology is an excellent substitute for barcodes in industry. However, the management of a large amount of RFID data, together with complicated relationships between data, in the context of responding to different kinds of queries is not well supported by traditional databases. Therefore, (1) an event-based model for managing data and (2) an algorithm for responding to event queries are proposed for RFID repositories in this paper. Our approach is based on the specification of the EPC information services (EPCIS) to meet the overall data requirements of the RFID community. Specifically, the object-oriented model is built on the top of relational databases so as to make the proposed combined data model highly flexible and semantic comprehensive. Based on this data model, various complicated predicates implied in different parameters of the predefined event query are interpreted into one single request to the database.

Keywords

bar codes; data models; object-oriented databases; query processing; radiofrequency identification; relational databases; EPC information service; RFID data management; RFID repository; RFID technology; barcode; data model; data requirement; electronic product code; event query processing; event-based model; object-oriented model; radio frequency identification; relational database; Data models; Industrial relations; Object oriented databases; Object oriented modeling; Query processing; Radiofrequency identification; Relational databases; Signal processing; Standards development; Web and internet services;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal-Image Technologies and Internet-Based System, 2007. SITIS '07. Third International IEEE Conference on

Conference_Location

Shanghai

Print_ISBN

978-0-7695-3122-9

Type

conf

DOI

10.1109/SITIS.2007.50

Filename

4618772