This chapter leverages semantic technologies, such as Linked Data,which can facilitate machine-to-machine (M2M) communications to build an efficient information 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 triple pattern queries registered in the system by the consumers. We also design two new data structures, TP-automata and CTPautomata, to meet the high performance needs of Linked Data dissemination. We evaluate our system using a real-world dataset generated from a Smart Building Project. With the new data structures, the proposed system can disseminate Linked Data faster than the existing approach with thousands of registered queries.
|Title of host publication||Handbook of Big Data Technologies|
|Publisher||Springer International Publishing AG|
|Number of pages||19|
|Publication status||Published - 25 Feb 2017|