Bridging the Gap between Digital Object Memory Information and Its Binary Representation

Marc Seissler; Ines Dahmann; Peter Stephan; Jochen Schlick

In: Michael Schneider; Alexander Kröner; Peter Stephan; Thomas Plötz; Fahim Kawsar; Gerd Kortuem (Hrsg.). DOME-IoT: International Workshop on Digital Object Memories in the Internet of Things. Workshop on Digital Object Memories (DOME-2010), located at Ubicomp, September 26-29, Copenhagen, Denmark, Pages 25-30, ISBN ISSN 0946-008X, DFKI, 9/2010.


Today, several applications in the domain of industrial production and logistics use information stored on smart labels to control processes or monitor the flow of goods. This often complex information is represented by bits and bytes e.g. on a RFID transponder and is usually modeled accordingly, by arranging the bits and bytes in an order suitable for the specific application at hand. Accessing the information means coding this order into read/write algorithms in PLCs or other automation systems, making it difficult and expensive to add, rearrange or remove pieces of information. To increase the benefit of IoT technologies and to allow a seamless migration of the underlying tag technologies, future systems thus have to abstract from the information and its binary representation. In this paper we introduce a mapping technology that enables the separation of information and its' Digital Object Memory (DOM)-specific memory representation. The key of this concept is an XML schema used for the separated description of information and its DOM-specific memory address. A server has been developed that stores those tag-specific XML documents and supports querying for the requested information addresses. To demonstrate the feasibility of the approach this mapping technology has been used in combination with a programmable logic controller (PLC) to enable the flexible migration of various smart label technologies and DOM representations avoiding the necessity to change the PLC application code.


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DOME-IoT-2010-Paper9-final.pdf (pdf, 506 KB )

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence