Direct manipulation vs. interface agents
interactions
Bridging physical and virtual worlds with electronic tags
Proceedings of the SIGCHI conference on Human Factors in Computing Systems
Using speakeasy for ad hoc peer-to-peer collaboration
CSCW '02 Proceedings of the 2002 ACM conference on Computer supported cooperative work
Integrating Information Appliances into an Interactive Workspace
IEEE Computer Graphics and Applications
People, places, things: Web presence for the real world
WMCSA '00 Proceedings of the Third IEEE Workshop on Mobile Computing Systems and Applications (WMCSA'00)
Physical Prototyping with Smart-Its
IEEE Pervasive Computing
Multimedia-based interactive advising technology for online consumer decision support
Communications of the ACM - Special issue: RFID
Spontaneous marriages of mobile devices and interactive spaces
Communications of the ACM - Special issue: RFID
ReachMedia: On-the-move interaction with everyday objects
ISWC '05 Proceedings of the Ninth IEEE International Symposium on Wearable Computers
FaCT++ description logic reasoner: system description
IJCAR'06 Proceedings of the Third international joint conference on Automated Reasoning
Trading digital information goods based on semantic technologies
Journal of Theoretical and Applied Electronic Commerce Research
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Smart products are hybrids that merge tangible products with mobile information technologies. This opens up unprecedented opportunities for product designers and marketing manager for implementing adaptive and situation-aware product interfaces that generate dynamic communication behaviour with customers during the whole life-cycle of a single product. The realisation of this vision requires, beside others, expressive and machine-readable product representations and an open product information infrastructure. With Tip 'n Tell we present an architecture that supports smart products. Product information is representedj by a coherent container model, called SPDO, that uses semantically annotated descriptions in OWL-DL format. Based on these elements we demonstrate services that allow finding multimedia content that fits to a product in focus based on a combination of DL-reasoning and RDF-based rule derivations. Similar products to a product in focus are determined by statistical similarity measures on feature level. Finally we present a logic-based service that determines compatible products.