@article{Qin2015,
abstract = {The Internet of Things (IoT) envisions smart objects collecting and sharing data at a global scale via the Internet. One challenging issue is how to disseminate data to relevant data consumers efficiently. This article leverages semantic technologies, such as Linked Data, which can facilitate machine-to-machine communications to build an efficient stream dissemination system for Semantic IoT. The system integrates Linked Data streams generated from various data collectors and disseminates matched data to relevant data consumers based on user queries registered in the system. We design a new data structure, namely TP-automata, to suit the needs of high performance of Linked Data stream dissemination. The system is evaluated using a real-world dataset generated in a Smart Building IoT Project. The proposed system can disseminate Linked Data Streams at the speed of one million triples per second with a hundred thousand registered user queries, which is several orders of magnitude faster than existing techniques.},
author = {Qin, Yongrui and Sheng, Quan Z. and Curry, Edward},
doi = {10.1109/MIC.2015.29},
file = {:Users/ed/Library/Application Support/Mendeley Desktop/Downloaded/Qin, Sheng, Curry - 2015 - Matching Over Linked Data Streams in the Internet of Things.pdf:pdf},
journal = {IEEE Internet Computing},
keywords = {Linked data,query index,stream dissemination,stream processing},
mendeley-tags = {Linked data,query index,stream dissemination,stream processing},
number = {3},
pages = {21 -- 27},
title = {{Matching Over Linked Data Streams in the Internet of Things}},
url = {http://www.edwardcurry.org/publications/Qin_IC15.pdf},
volume = {19},
year = {2015}
}