By the same authors

Semantic reasoning for autonomic IT systems

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Published copy (DOI)



Publication details

Title of host publicationWCOP 2014 - Proceedings of the 19th International Doctoral Symposium on Components and Architecture (Part of CompArch 2014)
DatePublished - 2014
Number of pages6
PublisherAssociation for Computing Machinery (ACM)
Original languageEnglish
ISBN (Print)9781450325936


Autonomic systems are required to adapt continually to changing environments and user goals. This process involves the real-Time update of the system's knowledge base, which should therefore be stored in a machine-readable format and automatically checked for consistency. OWL ontologies meet both requirements, as they represent collections of knowl- edge expressed in FIrst order logic, and feature embedded reasoners. To take advantage of these OWL ontology char- acteristics, this PhD project will devise a framework com- prising a theoretical foundation, tools and methods for de- veloping knowledge-centric autonomic systems. Within this framework, the knowledge storage and maintenance roles will be fulfilled by a specialised class of OWL ontologies.

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