Towards an Integrated Framework for Semantic Product Memories
This chapter provides a general overview concerning the technical concept of the SemProM project. The notion of a Digital Product Memory (DPM) is explained, and the technical requirements resulting from its characteristics are outlined. Based on a review
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Abstract This chapter provides a general overview concerning the technical concept of the S EM P RO M project. The notion of a Digital Product Memory (DPM) is explained, and the technical requirements resulting from its characteristics are outlined. Based on a review of the state of the art, the basic building blocks and steps for the specification and realization of an overall framework for semantic product memories are discussed. The central elements of the developed approach are presented in more detail. This includes a layered architecture model for S EM P RO M incarnations and a generalized architecture conception for the required technical infrastructure and middleware components. Last but not least, the practical application of the S EM P RO M framework is also considered. Experimental results from building integrated system prototypes illustrate the potential of the novel approach.
1 Introduction Continuous evolution of information and communication technologies paves the way towards an Internet of Things (IoT), which aims to provide a digital identity to real-world objects. The ongoing development related to the IoT (see, e.g., Atzori et al. 2010; Chaouchi 2010) constitutes an important building block for the kind of ubiquitous computing that Weiser envisaged 20 years ago in Weiser (1991). Initial work has focused on the combination of automatic identification and data capture with networked infrastructures based on Radio Frequency Identification (RFID) technology. Using RFID tags as smart labels has already laid the foundation for automatically identifying and tracing the flow of goods within supply chains. The IoT approach, however, offers a much broader perspective and potential for novel applications (Uckelmann et al. 2011).
G. Herzog (B) · A. Kröner DFKI GmbH, German Research Center for Artificial Intelligence, Saarbrücken, Germany e-mail: [email protected] A. Kröner Current e-mail: [email protected] W. Wahlster (ed.), SemProM, Cognitive Technologies, DOI 10.1007/978-3-642-37377-0_3, © Springer-Verlag Berlin Heidelberg 2013
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Smart labels enable new item-centric ways of machine-to-machine communication and human–machine interaction across an entire product lifecycle. The new generations of smart items integrated in physical products also include sensor capabilities and hence facilitate applications that go over and beyond the pure identification function of RFID marking. From production through to disposal and recycling of tangible objects, it now becomes possible to capture and utilize up-to-date itemlevel product data. This evolution leads to the notion of a digital memory as proposed in Wahlster et al. (2008), Wahlster (2013a), which provides a kind of digital black box which is tightly linked to the individual product instance. Such a common Digital Product Memory (DPM) is designed to support the transition from closed-loop to open-loop scenarios and aims to provide benefits for the different stakeholders involved, including manufacturers and s
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