Diagnosing Data Pipeline Failures Using Action Languages
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
- Alphabet Inc.
This paper discusses diagnosis of industrial data processing pipelines using action languages. Solving the problem requires reasoning about actions, effects of the actions and mechanisms for accessing outside data sources. To satisfy these requirements, we introduce an action language, Hybrid ALE that combines elements of the action language Hybrid AL and the action language CTAID . We discuss some of the practical aspects of implementing Hybrid ALE and describe an example of its use.
|Title of host publication||Logic Programming and Nonmonotonic Reasoning - 15th International Conference, LPNMR 2019, Proceedings|
|Editors||Yuliya Lierler, Stefan Woltran, Marcello Balduccini|
|Publication status||Published - 1 Jan 2019|
|MoE publication type||A4 Article in a conference publication|
|Event||International Conference on Logic Programming and Nonmonotonic Reasoning - Philadelphia, United States|
Duration: 3 Jun 2019 → 7 Jun 2019
Conference number: 15
|Name||Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)|
|Conference||International Conference on Logic Programming and Nonmonotonic Reasoning|
|Period||03/06/2019 → 07/06/2019|