XMIDDLE: A Data-Sharing Middleware for Mobile Computing
Wireless Personal Communications: An International Journal
IEEE Internet Computing
Fjording the Stream: An Architecture for Queries Over Streaming Sensor Data
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
Code generation techniques for developing light-weight XML Web services for embedded devices
Proceedings of the 2004 ACM symposium on Applied computing
Semantic Web Technologies for Context-Aware Museum Tour Guide Applications
AINA '05 Proceedings of the 19th International Conference on Advanced Information Networking and Applications - Volume 2
A Pipelined Framework for Online Cleaning of Sensor Data Streams
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
MEDIC: Medical embedded device for individualized care
Artificial Intelligence in Medicine
Bigtable: A Distributed Storage System for Structured Data
ACM Transactions on Computer Systems (TOCS)
Energy consumption in mobile phones: a measurement study and implications for network applications
Proceedings of the 9th ACM SIGCOMM conference on Internet measurement conference
The Internet of Things: A survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Bridging physical and virtual worlds: complex event processing for RFID data streams
EDBT'06 Proceedings of the 10th international conference on Advances in Database Technology
Who killed my battery?: analyzing mobile browser energy consumption
Proceedings of the 21st international conference on World Wide Web
Knowledge extraction from structured sources
Search Computing
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The term Internet of Things refers to the vision, that all kinds of physical objects are uniquely identifiable and have a virtual representation on the Internet. We present an approach for equipping embedded and smart devices on the Internet of Things with a Linked Data interface. The approach is based on mapping existing structured data on the device to vocabularies and ontologies and exposing this information as dereferencable RDF directly from within the device. As a result, all smart devices (e.g. tablets, smartphones, TVs) can easily provide standardized structured information and become first class citizens on the Data Web. A particular specific requirement when dealing with smart and embedded devices is resource constraints. Our evaluation shows, that the overhead introduced by equipping a device with a Linked Data interface is neglectable given modern software and hardware environments.