by Jungh K
The article that I read for this week’s blog assignment is titled, “A data model for RFID data”. It is written by Kun Bai and Shaoxi Li of Dalian Maritime University and Jing Tian of Liaoning Police Academy. The article explores the current challenges of incorporating RFID’s unique data characterizations into the effective RFID data model for daily business needs. The authors propose a new data model that extends from a traditional Entity-Relation (ER) model, called Dynamic Relationship ER Model (DRER). The previous data models, mentioned by the authors, approach the challenges through use of metadata tables, 3D plane to store data, event-based data model, and etc. The proposed DRER model differs from a traditional ER model by making relationships dynamic in order to generate events and state history. In doing so, the DRER model can be implemented directly into an RDBMS and therefore complex RFID queries can be made natively. Because of enormous amount of data and speed of data accumulation occurring in the real time from processing RFID, it is crucial to implement an effective data model.
Even though RFID had been around for decades, I never used it until recently. A smartphone I got not too long ago came with NFC, a form of RFID technology that enables monetary transactions through the Google Wallet. Up until I read this article, I never gave much thought on how complex the 16-digit number (my credit card number) is processed in order to make a transaction.
This week’s lecture on the ER model really helped me understand how the new model works in order to incorporate aggregation and temporal semantics, which are useful on business intelligences. On the ER model we learnt from the class, relationships were static. But by making the relationships dynamic, better semantic information are incorporated.
Kun Bai; Shaoxi Li; Jing Tian; , “A data model for RFID data,” Communication Software and Networks (ICCSN), 2011 IEEE 3rd International Conference on , vol., no., pp.482-488, 27-29 May 2011
*The shown image directly comes from the article.