Get tracked: A triple store for RFID traceability data

Veneta Dobreva, Martina Cezara Albutiu, Robert Brunel, Thomas Neumann, Alfons Kemper

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations


Companies are increasingly employing Radio Frequency Identification (RFID) technologies to track their goods in business processes. The rapidly produced, large amounts of events pose new challenges to modern databases: an efficient data staging process and efficient querying mechanisms for traceability data. In this paper, inspired by recent work on RDF triple stores, we present a scalable dedicated system for efficient storage and fast querying of RFID data. We address the challenges as follows: (1) we incorporate elaborated indexing techniques leveraging the specifics of the data in order to enable efficient event processing; (2) the query engine takes advantage of the RFID characteristics (e.g., the monotonic increase of timestamps) to speed up query processing. Our experimental studies show that the RFID Triple Store can achieve both a significantly higher insert throughput and a better query performance compared to a commercial row-oriented DBMS and the open-source column-store database system MonetDB.

Original languageEnglish
Title of host publicationAdvances in Databases and Information Systems - 16th East European Conference, ADBIS 2012, Proceedings
Number of pages14
StatePublished - 2012
Event16th East European Conference on Advances in Databases and Information Systems, ADBIS 2012 - Poznan, Poland
Duration: 18 Sep 201221 Sep 2012

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7503 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference16th East European Conference on Advances in Databases and Information Systems, ADBIS 2012


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