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Year

2004

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Abstract

Das "Internet der Dinge" ist eine der "Perspektiven für Zukunftsmärkte" der Fraunhofer-Gesellschaft. Die Vision vom "Internet der Dinge" wurde erstmals 2004 formuliert, als RFID als eine der Technologien, die die Fantasie der Forscher und Ingenieure beflügelt, in die Welt der Warenströme versuchweise integriert wurde. Klar ist, die Technik lässt sich überall einsetzen, wo man Gegenstände identifizieren, registrieren und ihren Weg verfolgen will. Aber es scheint erst der Anfang einer Revolution zu sein. Das Internet der Dinge entwickelt sich rasant. Realistische Szenarien sollen die Warenströme vereinfachen, zuverlässig machen und Problemlösungen nachvollziehbar gestalten lassen. Keine Orwellschen Horrorszenarien, Transparenz der Warenherkunft, des Warenzustands und der Lieferzuverlässigkeit dienen dem Verbraucher und helfen dabei, unsere ständig komplexer werdende Welt gestaltbar zu erhalten. Bei der Idee hat denn auch, wie der Name "Internet der Dinge" andeutet, das existierende World Wide Web Pate gestanden. Jedes Paket, jeder Container, jeder Transportbehälter, so die Vision, findet selbst den richtigen Weg zum Empfänger. Ort und Zustand der Dinge werden transparent und nachvollziehbar, der Schutz der Intimsphären individuell steuerbar. "Die RFID-Technik macht es möglich", prophezeit der Logistikexperte Prof. Michael ten Hompel, Leiter des Fraunhofer-Instituts für Materialfluss und Logistik IML in Dortmund. "Das Ziel wird einfach in die intelligenten Etiketten geschrieben. So weiß das Paket, wo es hin muss, steuert sich selbst auf seinem Weg durch die Anlagen und bucht seinen Platz in einem Transportfahrzeug", beschreibt ten Hompel die Aufgabe, die die Fraunhofer-Gesellschaft in die Realität umsetzen wird.

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Classification

658.4/038 22

Date

22. 3.2009 18:43:51

DDC

658.4/038 22

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Footnote

Rez. in: JASIST 59(2008) no.9, S.1531. (C. Caldeira): "Successful, real-world organizations employ groups to get work done. Despite the large number of years of collaborative models in work-group paradigm, it is a little surprising that there are very few books about the subject. Furthermore, most of those studies are mainly focused on work group performance management and work productivity. This text belongs to the advanced type, and is a valuable resource for graduate students in a wide range of courses and for a large spectrum of professionals interested in collaborative work. Due to its advanced level, some topics are relatively difficult to understand if the reader does not have some background in collaborative work and group cognition. Students who use this book will rapidly understand the most important topics of the science of collaboration for computer-supported cooperative work and computer-supported collaborative learning, and their relation to the business world of our days. The main concern and fundamental idea of this book is to set its focus primarily on work group, and not on individuals. Stahl's baseline is to use the science of collaboration for computer-supported cooperative work and computer-supported collaborative learning to conduct comparative studies on group interaction, group meaning, group cognition, group discourse, and thinking. The book is divided into three distinct parts. The first one is about the design of computer support for collaborative work and presents eight studies centered on software tools and their particular applications: The first three are AI applications for collaborative computer-supported cooperative work and computer-supported collaborative learning, the fourth and the fifth are about collaborative media, and the last ones are a combination of computational technology and collaborative functions. The second part is focused on the analysis on knowledge building in the collaborative work of small groups. It is developed with support on five essays published by Stahl from 2000 to 2004. In the first of those chapters, he describes a model of collaborative knowledge building and how to share knowledge production. The second criticizes some cooperative work and collaborative learning research methodologies that make the collaborative phenomena hard to perceive. The remaining chapters mostly provide mechanisms to understand in new and better ways collaborative processes. The third part contains the theoretical corpus of the book. Chapters 14 through 21 contain the most recent of Stahl's contributions to the theoretical foundations of computer-supported cooperative work and computer-supported collaborative learning. Chapters 16 to 18 provide much material about topics directly related to group cognition research and collaborative work in modern organizations. Finally, the last part of the book contains an exhaustive list of references that will be of great value to all interested in the multiple aspects and fields of cooperative work and collaborative learning."