Toward principles for the design of ontologies used for knowledge sharing
International Journal of Human-Computer Studies - Special issue: the role of formal ontology in the information technology
Getting Erlang to talk to the outside world
Proceedings of the 2002 ACM SIGPLAN workshop on Erlang
XPRESS: a queriable compression for XML data
Proceedings of the 2003 ACM SIGMOD international conference on Management of data
Compressing XML with Multiplexed Hierarchical PPM Models
DCC '01 Proceedings of the Data Compression Conference
Comparative Analysis of XML Compression Technologies
World Wide Web
Path queries on compressed XML
VLDB '03 Proceedings of the 29th international conference on Very large data bases - Volume 29
Encoding Semantic Awareness in Resource-Constrained Devices
IEEE Intelligent Systems
Connecting resource-constrained robots to knowledge-based systems
MIC '08 Proceedings of the 27th IASTED International Conference on Modelling, Identification and Control
New research perspectives on Ambient Intelligence
Journal of Ambient Intelligence and Smart Environments
ContextML: a light-weight context representation and context management schema
ISWPC'10 Proceedings of the 5th IEEE international conference on Wireless pervasive computing
Transferring Ontologies between Mobile Devices and Knowledge-Based Systems
EUC '10 Proceedings of the 2010 IEEE/IFIP International Conference on Embedded and Ubiquitous Computing
Xebu: a binary format with schema-based optimizations for XML data
WISE'05 Proceedings of the 6th international conference on Web Information Systems Engineering
Knowledge-Based systems for ambient social interactions
AmI'11 Proceedings of the Second international conference on Ambient Intelligence
Towards interactive smart spaces
Journal of Ambient Intelligence and Smart Environments - Context Awareness
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The forthcoming ambient systems will contain a large amount of sensors. Representing the data produced by these sensors in a format suitable for ambient intelligence applications would enable a large number of useful services. However, such formats tend to require processing power and communication bandwidth not available in many sensors utilizing ultra low-power microcontrollers and radio chip solutions. This paper presents a lightweight data representation, Entity Notation, to tackle this problem. Sensors with limited computation and communication capabilities can use Entity Notation to describe the data they produce. Entity Notation can be transformed into knowledge representations in a straightforward manner, and hence, the data produced by sensor nodes can be utilized with ease by any ambient intelligence system compatible with the common knowledge representations. This paper presents the design of Entity Notation, its implementations on embedded sensors and the evaluation of its performance.