DocumentCode
168478
Title
Poster Abstract: Semantically Enriched Object Identification for Internet of Things
Author
Sejin Chun ; Jooik Jung ; Xiongnan Jin ; Gunhee Cho ; Kyong-Ho Lee
Author_Institution
Dept. of Comput. Sci., Yonsei Univ., Seoul, South Korea
fYear
2014
fDate
26-28 May 2014
Firstpage
141
Lastpage
142
Abstract
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.
Keywords
IP networks; Internet of Things; ontologies (artificial intelligence); semantic networks; Internet of Things; URL-based semantic identifier assignment; W3C semantic sensor network ontology; heterogeneous objects; performance evaluation; scalable physical-object naming system; semantically enriched object identification; synthetically generated data; Algorithm design and analysis; Computer architecture; Internet of Things; Object recognition; Ontologies; Passive optical networks; Semantics; IoT; Object Identification; SSN; Semantic URL;
fLanguage
English
Publisher
ieee
Conference_Titel
Distributed Computing in Sensor Systems (DCOSS), 2014 IEEE International Conference on
Conference_Location
Marina Del Rey, CA
Type
conf
DOI
10.1109/DCOSS.2014.64
Filename
6846158
Link To Document