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.
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