DebEAQ - Debugging empty-answer queries on large data graphs

Publikation: Beitrag in Buch/Konferenzbericht/Sammelband/GutachtenBeitrag in KonferenzbandBeigetragenBegutachtung

Beitragende

  • Elena Vasilyeva - , SAP Research (Autor:in)
  • Thomas Heinze - , SAP Research (Autor:in)
  • Maik Thiele - , Technische Universität Dresden (Autor:in)
  • Wolfgang Lehner - , Technische Universität Dresden (Autor:in)

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

OriginalspracheEnglisch
Titel2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016
Herausgeber (Verlag)IEEE, New York [u. a.]
Seiten1402-1405
Seitenumfang4
ISBN (elektronisch)9781509020195
PublikationsstatusVeröffentlicht - 22 Juni 2016
Peer-Review-StatusJa
Extern publiziertJa

Publikationsreihe

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

Konferenz

Titel32nd IEEE International Conference on Data Engineering, ICDE 2016
Dauer16 - 20 Mai 2016
StadtHelsinki
LandFinnland

Externe IDs

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