Diagnosing Data Pipeline Failures Using Action Languages

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Abstract

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[6] and the action language CTAID [8]. We discuss some of the practical aspects of implementing Hybrid ALE and describe an example of its use.

Details

Original languageEnglish
Title of host publicationLogic Programming and Nonmonotonic Reasoning - 15th International Conference, LPNMR 2019, Proceedings
EditorsYuliya Lierler, Stefan Woltran, Marcello Balduccini
Publication statusPublished - 1 Jan 2019
MoE publication typeA4 Article in a conference publication
EventInternational Conference on Logic Programming and Nonmonotonic Reasoning - Philadelphia, United States
Duration: 3 Jun 20197 Jun 2019
Conference number: 15

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11481 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

ConferenceInternational Conference on Logic Programming and Nonmonotonic Reasoning
Abbreviated titleLPNMR
CountryUnited States
CityPhiladelphia
Period03/06/201907/06/2019

ID: 35178629