Hasso-Plattner-Institut
  
Hasso-Plattner-Institut
Prof. Dr. Felix Naumann
  
 

Dr. Johannes Lorey

 

 

Former PhD student of the HPI Research School
at University of Potsdam
Email: Johannes Lorey

 


 

 

Research Activities

  • Cloud Computing
  • Large-Scale Data Analysis and Processing
  • Data Placement
  • Linked Data Management

Publications

Caching and Prefetching Strategies for SPARQL Queries

Johannes Lorey, Felix Naumann
In ESWC 2013 Satellite Events – Revised Selected Papers, Montpellier, France, 2013

Abstract:

Linked Data repositories offer a wealth of structured facts, useful for a wide array of application scenarios. However, retrieving this data using SPARQL queries yields a number of challenges, such as limited endpoint capabilities and availability, or high latency for connecting to it. To cope with these challenges, we argue that it is advantageous to cache data that is relevant for future information needs. However, instead of only retaining results of previously issued queries, we aim at retrieving data that is potentially interesting for subsequent requests in advance. To this end, we present different methods to modify the structure of a query so that the altered query can be used to retrieve additional related information. We evaluate these approaches by applying them to requests found in real-world SPARQL query logs.

BibTeX file

@inproceedings{Johannes2013a,
author = { Johannes Lorey, Felix Naumann },
title = { Caching and Prefetching Strategies for SPARQL Queries },
year = { 2013 },
month = { 0 },
abstract = { Linked Data repositories offer a wealth of structured facts, useful for a wide array of application scenarios. However, retrieving this data using SPARQL queries yields a number of challenges, such as limited endpoint capabilities and availability, or high latency for connecting to it. To cope with these challenges, we argue that it is advantageous to cache data that is relevant for future information needs. However, instead of only retaining results of previously issued queries, we aim at retrieving data that is potentially interesting for subsequent requests in advance. To this end, we present different methods to modify the structure of a query so that the altered query can be used to retrieve additional related information. We evaluate these approaches by applying them to requests found in real-world SPARQL query logs. },
address = { Montpellier, France },
booktitle = { ESWC 2013 Satellite Events -- Revised Selected Papers },
priority = { 0 }
}

Copyright Notice

last change: Mon, 16 Sep 2013 16:18:26 +0200

Teaching Activities

Co-supervised Master's thesis

  • Armin Zamani-FarahaniStrategies for structure-based rewriting of SPARQL queries for data prefetching, 2013