Measuring the similarity of PML documents with RFID-based sensors Online publication date: Wed, 19-Nov-2014
by Zhong-qin Wang; Ning Ye; Reza Malekian; Ting-ting Zhao; Ru-chuan Wang
International Journal of Ad Hoc and Ubiquitous Computing (IJAHUC), Vol. 17, No. 2/3, 2014
Abstract: The electronic product code (EPC) network is an important part of the internet of things. The physical mark-up language (PML) is to represent and describe data related to objects in EPC network. The PML documents of each component to exchange data in EPC network system are XML documents based on PML Core schema. For managing theses huge amount of PML documents of tags captured by radio frequency identification (RFID) readers, it is inevitable to develop the high-performance technology, such as filtering and integrating these tag data. So in this paper, we propose an approach for measuring the similarity of PML documents based on Bayesian network of several sensors. With respect to the features of PML, while measuring the similarity, we firstly reduce the redundancy data except information of EPC. On the basis of this, the Bayesian network model derived from the structure of the PML documents being compared is constructed.
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Ad Hoc and Ubiquitous Computing (IJAHUC):
Login with your Inderscience username and password:
Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.
If you still need assistance, please email subs@inderscience.com
Our Blog 
Follow us on Twitter 
Visit us on Facebook