DebEAQ - Debugging empty-answer queries on large data graphs

Research output: Contribution to book/conference proceedings/anthology/reportConference contributionContributedpeer-review

Contributors

  • Elena Vasilyeva - , SAP Research (Author)
  • Thomas Heinze - , SAP Research (Author)
  • Maik Thiele - , TUD Dresden University of Technology (Author)
  • Wolfgang Lehner - , TUD Dresden University of Technology (Author)

Abstract

The large volume of freely available graph data sets impedes the users in analyzing them. For this purpose, they usually pose plenty of pattern matching queries and study their answers. Without deep knowledge about the data graph, users can create 'failing' queries, which deliver empty answers. Analyzing the causes of these empty answers is a time-consuming and complicated task especially for graph queries. To help users in debugging these 'failing' queries, there are two common approaches: one is focusing on discovering missing subgraphs of a data graph, the other one tries to rewrite the queries such that they deliver some results. In this demonstration, we will combine both approaches and give the users an opportunity to discover why empty results were delivered by the requested queries. Therefore, we propose DebEAQ, a debugging tool for pattern matching queries, which allows to compare both approaches and also provides functionality to debug queries manually.

Details

Original languageEnglish
Title of host publication2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016
PublisherIEEE, New York [u. a.]
Pages1402-1405
Number of pages4
ISBN (electronic)9781509020195
Publication statusPublished - 22 Jun 2016
Peer-reviewedYes
Externally publishedYes

Publication series

Series International Conference on Data Engineering (ICDE)
ISSN1063-6382

Conference

Title32nd IEEE International Conference on Data Engineering, ICDE 2016
Duration16 - 20 May 2016
CityHelsinki
CountryFinland

External IDs

ORCID /0000-0001-8107-2775/work/142253543