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Springer, Cham

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10.1016/0160-9327(96)10016-8

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Pattern Matching Over Linked Data Streams

Authors: Yongrui Qin Quan Z Sheng
Publish Date: 2017
Volume: , Issue: , Pages: 409-427
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Abstract

This chapter leverages semantic technologies such as Linked Data which can facilitate machinetomachine 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 TPautomata and CTPautomata to meet the high performance needs of Linked Data dissemination We evaluate our system using a realworld 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


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