PCKS: Commandments for Benchmarking Semantic Flow Processing Systems

author: Thomas Scharrenbach, Department of Informatics, University of Zurich
author: Emanuele Della Valle, Politecnico di Milano
published: Nov. 15, 2013,   recorded: June 2013,   views: 2705

Related Open Educational Resources

Related content

Report a problem or upload files

If you have found a problem with this lecture or would like to send us extra material, articles, exercises, etc., please use our ticket system to describe your request and upload the data.
Enter your e-mail into the 'Cc' field, and we will keep you updated with your request's status.
Lecture popularity: You need to login to cast your vote.


PCKS is a novel approach for systematically benchmarking semantic flow processing systems. Based on identifying the properties and challenges of a semantic flow processing system and data set at hand, we elaborate the importance of defining appropriate key performance indicators. In the corresponding paper published at ESWC 2013 we investigate how current benchmarks perform under PCKS. We find that their most significant shortcoming is their restriction to input throughput as the sole key performance indicator. Showing that semantic flow processing systems must be evaluated under other key performance indicators such as correctness. In our study we indicate how extend current benchmarks to systematically stress-test semantic flow processing engines. PCKS will help learning more about their performance under various evaluation criteria.

Link this page

Would you like to put a link to this lecture on your homepage?
Go ahead! Copy the HTML snippet !

Write your own review or comment:

make sure you have javascript enabled or clear this field: