Abstract
The SemProM format was basically designed for on-product RFID-based memories. Furthermore, some use cases demand centralized storage or data backups that cannot be achieved with on-product storage. For these cases (e.g., cheap products with very small labels, very large memories), a server-based solution might be more suitable. We developed the Object Memory Server (OMS) as an index server for product memories, based on the same set of metadata as the block format. The actual payload is outsourced to servers in the web. The URL used for accessing an OMS memory can be stored in simple and cheap RFID labels. Due to the large processing power of a server-based approach, the OMS can handle all SemProM incarnations, ranging from Reference SemProMs to Smart SemProMs. The conceptual ideas of the OMS were also transformed to provide a server-based solution for memories based on the W3C XG OMM format.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
K. Främling, M. Harrison, J. Brusey, Globally unique product identifiers—requirements and solutions to product lifecycle management, in Proceedings of the 12th IFAC Symposium on Information Control Problems in Manufacturing, France, vol. 1 (2006), pp. 855–860. http://www.cs.hut.fi/~framling/Publications/FramlingHarrisonBrusey_INCOM06.pdf
J. Haupert, Towards a digital object memory architecture, in Fifth Annual PhD Forum on Pervasive Computing and Communications (PerCom 2012 PhD Forum). IEEE International Conference on Pervasive Computing and Communications (PerCom-12), March 19–23, Lugano, Switzerland (IEEE Computer Society, Washington, 2012)
S. Horn, A. Claus, J. Neidig, B. Kiesel, T. Hansen, J. Haupert, The SemProM data format, in SemProM—Foundations of Semantic Product Memories for the Internet of Things, ed. by W. Wahlster. Cognitive Technologies (Springer, Berlin, 2013)
B. Kiesel, J. Neidig, The block interface: accessing digital product memories, in SemProM—Foundations of Semantic Product Memories for the Internet of Things, ed. by W. Wahlster. Cognitive Technologies (Springer, Berlin, 2013)
A. Kröner, J. Haupert, M. Seißler, B. Kiesel, B. Schennerlein, S. Horn, D. Schreiber, R. Barthel, Object Memory Modeling W3C Incubator Group Report. Technical report, Worldwide Web Consortium, 2011. http://www.w3.org/2005/Incubator/omm/XGR-omm/
A. Pförtner, Analysis of solutions for decentralized access to distributed product lifecycle information in business environments. Diploma thesis, TU Berlin, Berlin, Germany, 2010
M. Schneider, Towards a general object memory, in 1st International Workshop on Design and Integration Principles for Smart Objects in Conjunction with UbiComp’07, Austria (2007), pp. 307–312
M. Schneider, A. Kröner, The smart pizza packing: an application of object memories, in Proceedings of IE 08: 4th IET International Conference on Intelligent Environments, Seattle, WA, USA (University of Washington, Institution of Engineering and Technology (IET), Washington, 2008). doi:10.1049/cp:20081136
K. Traub, F. Armenio, H. Barthel, P. Dietrich, J. Duker, C. Floerkemeier, J. Garret, M. Harrison, B. Hogan, J. Mitsugi, J. Preishuber-Pfluegl, O. Ryaboy, S. Sarma, K. Suen, J. Williams, The EPCglobal Architecture Framework Version 1.4, 2010. http://www.epcglobalinc.org
W. Wahlster (ed.), SemProM—Foundations of Semantic Product Memories for the Internet of Things. Cognitive Technologies (Springer, Berlin, 2013)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Haupert, J., Schneider, M. (2013). The Object Memory Server for Semantic Product Memories. In: Wahlster, W. (eds) SemProM. Cognitive Technologies. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37377-0_11
Download citation
DOI: https://doi.org/10.1007/978-3-642-37377-0_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-37376-3
Online ISBN: 978-3-642-37377-0
eBook Packages: Computer ScienceComputer Science (R0)