Sejin Chun, Jooik Jung, Xiongnan Jin, Gunhee Cho, Kyong-Ho Lee
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Poster Abstract: Semantically Enriched Object Identification for Internet of Things
To efficiently explore heterogeneous objects on the Internet and uniquely identify them, we propose a scalable physical-object naming system that reuses the existing ontologies and assigns URL-based semantic identifiers. We implement a prototype of the proposed system and evaluate its performance using synthetically generated data based on the W3C Semantic Sensor Network ontology.
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