Automated Service Composition Using AI Planning and Beyond

Michel Medema*, Eirini Kaldeli, Alexander Lazovik

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

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Abstract

Automated Service Composition is one of the ``grand challenges'' in the area of Service-Oriented Computing. Mike Papazoglou was not only one of the first researchers who identified the importance of the problem, but was also one of the first proposers of formulating it as an AI planning problem. Unfortunately, classical planning algorithms were not sufficient and a number of extensions were needed, e.g., to support extended (rich) goal languages to capture the user intentions, to plan under uncertainty caused by the non-deterministic nature of services; issues that where formulated (and, partially addressed) by Mike, being one of his key contributions to the service community.
Original languageEnglish
Title of host publicationNext-Gen Digital Services. A Retrospective and Roadmap for Service Computing of the Future: Essays Dedicated to Michael Papazoglou on the Occasion of His 65th Birthday and His Retirement
EditorsMarco Aiello, Athman Bouguettaya, Damian Andrew Tamburri, Willem-Jan van den Heuvel
Place of PublicationCham
PublisherSpringer International Publishing
Pages16-32
Number of pages17
ISBN (Electronic)978-3-030-73203-5
ISBN (Print)978-3-030-73202-8
DOIs
Publication statusPublished - 2021

Publication series

NameLecture Notes in Computer Science
PublisherSpringer
Volume12521

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