DebEAQ - Debugging empty-answer queries on large data graphs
Research output: Contribution to book/conference proceedings/anthology/report › Conference contribution › Contributed › peer-review
Contributors
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 language | English |
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Title of host publication | 2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016 |
Publisher | IEEE, New York [u. a.] |
Pages | 1402-1405 |
Number of pages | 4 |
ISBN (electronic) | 9781509020195 |
Publication status | Published - 22 Jun 2016 |
Peer-reviewed | Yes |
Externally published | Yes |
Publication series
Series | International Conference on Data Engineering (ICDE) |
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ISSN | 1063-6382 |
Conference
Title | 32nd IEEE International Conference on Data Engineering, ICDE 2016 |
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Duration | 16 - 20 May 2016 |
City | Helsinki |
Country | Finland |
External IDs
ORCID | /0000-0001-8107-2775/work/142253543 |
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